Robin Cohen

2023-2024 Teaching

• very tentative course website for CS886 (Fall 2023) ;
• note on enrolment for CS886 (Fall 2023)
• note on attendance CS886 (Fall 2023)
• note on current interest in CS886 (Fall 2023)

2021-2022 Teaching

• CS492 (general introductory note to course); CS492 (note about logistics)

  2019-2020 Teaching

  • CS492 (note about enrolment); CS492 (note about course requirements) CS492 (note about value-added of course) ; CS492 (note about sections and groups in course) ; course website for CS492 (Spring 2020)
  • CS898 (tentative overview); course website; how to enrol

  2018-2019 Teaching

  • CS492 (note about enrolment); W19 course website; course website
  • CS697 (outline); Library slides; Research Ethics slides; Time Management slides
  • CS886 (outline); course website

  2017-2018 Teaching

  • CS492 (note about enrolment); course website
  • CS697 (outline); Research Ethics slides; Academic Integrity slides
  • CS886 (outline); course website; how to enrol

  2016-2017 Teaching

  • CS898 (outline); course website
  • CS492
  • CS330 (outline); course website
  • CS697 (outline); Integrity slides

  2015-2016 Teaching

  • CS492
  • CS785
  • CS886 (outline); course website

  2013-2014 Teaching

  • CS697
  • CS898 (outline); course website
  • CS492

  2012-2013 Teaching

  • CS785
  • CS697

  2011-2012 Teaching

  • CS697

  2010-2011 Teaching

  • CS886
  • CS697

  Areas of Research

  • artificial intelligence: multiagent systems (models of trust and reputation, applications to social networks, adjustable autonomy)
    user modeling, discourse, intelligent interaction, mixed-initiative systems
  • social implications of computers
  Current Research Interests (as of July 2021)
  

  Degrees

  • Ph.D. Computer Science, University of Toronto, 1983
  • M.Sc. Computer Science, University of Toronto, 1977
  • B.A. Honours Mathematics, McGill University, 1975
    Dip. Coll. Studies Arts McGill University, 1972

    Employment History

    2011 - 2014	Associate Dean Research, Faculty of Mathematics, University of Waterloo
    2009 - 2012	Director, BBA/BCS Program at the University of Waterloo
    2002 - 2005	Associate Dean, Graduate Studies and Research, Faculty of Mathematics, University of Waterloo
    2001 - 2002	Graduate Recruiting Officer, School of Computer Science, University of Waterloo
    1998 - Present	Professor, Computer Science, University of Waterloo
    1990 - 1998	Associate Professor, Computer Science, University of Waterloo
    1986 - 1990	Assistant Professor, Computer Science, University of Waterloo
    1984 - 1986	Research Assistant Professor, Computer Science, University of Waterloo

    Honours

    2023	Lifetime Achievement Award, Canadian Computer Science (CAN-CS)
    2019	Distinguished Teacher Award, University of Waterloo
    2018	Lifetime Achievement Award, Canadian Artificial Intelligence Association (CAIAC)
    2014 - onwards	AAAI Senior Member
    2010 - 2013	Cheriton Fellowship, David R. Cheriton School of Computer Science, University of Waterloo
    2009	Award for Excellence in Graduate Supervision, University of Waterloo
    2008	Faculty of Mathematics Award for Distinction in Teaching, University of Waterloo
    2002 - 2005	Faculty Fellowship, Faculty of Mathematics, University of Waterloo

    Graduate Supervisions

    Completed: 22 Masters, 18 PhD, plus 2 Postdoctoral (1 PhD who did not complete)
    In Progress: 2 PhD, 3 Masters

    Current Graduate Students

    Nanda Kishore Sreenivas, PhD (nksreeni AT uwaterloo.ca)
    Liam Hebert, PhD (liam.hebert AT uwaterloo.ca)
    Kathryn Carbone, MMath (kcarbone AT uwaterloo.ca)
    Mahmoud Khalaf, MMath (mkhalaf AT uwaterloo.ca)
    Olha Wloch, MMath (olha.wloch AT uwaterloo.ca)
    Yonas Atinafu, MMath (starting F2025)
    Lucas Kopp, MMath (starting F2025)
    Savira Umar, MMath (starting F2025)
    Roger Cao, MMath (starting F2025)
    Tom Wang, PhD (starting S2025)
    

    Former Graduate Students

    Owen Chambers (M. Math, 2023)	User-Specific Explanations of AI Systems Attuned to Psychological Profiles: A User Study (co-supervised by M. Grossman)
    Alex Parmentier (M.Math, 2020)	Novel Directions for Multiagent Trust Modeling in Online Social Networks
    Henry Chen (M.Math, 2020)	Autonomous Vehicles with Visual Signals for Pedestrians: Experiments and Design Recommendations (co-supervised by K. Czarnecki))
    Mohammed Alliheedi (Ph.D, 2019)	Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles (co-supervised by R. Mercer))
    Michael Cormier (Ph.D, 2018)	Computer Vision on Web Pages: A Study of Man-Made Images (co-supervised by R. Mann) (Second-Place Winner of 2019 Inaugural Cheriton Dissertation Award; Winner of 2018 Murray Martin Prize (Award for Best Research Paper by a Graduate Student in Faculty of Mathematics at UW))
    Hadi Hosseini (Ph.D, 2016)	Incentives in One-Sided Matching Problems with Ordinal Preferences (co-supervised by K.Larson)
    John Doucette (Ph.D, 2016)	Social Choice for Partial Preferences using Imputation (Winner of Outstanding Achievement in Graduate Studies Award (Top PhD Student in Faculty of Mathematics at UW)) (Winner of Canadian Artificial Intelligence Association Doctoral Dissertation Award)
    Graham Pinhey (M.Math, 2014)	Distributed Multiagent Resource Allocation Using Reservations to Improve Handling of Dynamic Task Arrivals
    Noel Sardana (M.Math, 2014)	Recommending Messages to Users in Participatory Media Environments: a Bayesian Credibility Approach
    Dean Shaft (M.Math, 2014)	A Framework for Resource Allocation in Time Critical Dynamic Environments Based on Social Welfare and Local Search and its Application to Healthcare
    Reid Kerr (PhD, 2013)	Addressing the Issues of Coalitions and Collusion in Multiagent Systems
    John Doucette (MMath, 2012)	An Ex-Ante Rational Distributed Resource Allocation System using Transfer of Control Strategies for Preemption with Applications to Emergency Medicine. (Winner of Alumni Gold Medal (Top Masters Student at UW))
    John Champaign (PhD, 2012)	Peer-Based Intelligent Tutoring Systems: A Corpus-Oriented Approach
    John Finnson (MMath, 2012)	Modeling Trust in Multiagent Mobile Vehicular Ad-Hoc Networks Through Enhanced Knowledge Exchange for Effective Travel Decision Making
    Joshua Gorner (MMath, 2011)	Advisor Networks and Referrals for Improved Trust Modelling in Multi-Agent Systems
    Hyunggu Jung (MMath, 2010)	Reasoning About Benefits and Costs of Interaction with Users in Real-Time Decision Making Environments with Application to Healthcare Scenarios
    Georgia Kastidou (PhD, 2010)	Trust-Based Incentive Mechanisms for Community-Based Multiagent Systems (co-supervised by K. Larson)
    Jie Zhang (PhD, 2009)	Promoting Honesty in E-Marketplaces: Combining Trust Modeling and Incentive Mechanism Design (Winner of Alumni Gold Medal (Top PhD student at UW))
    Aaditeshwar Seth (PhD, 2008)	Design of a Recommender System for Participatory Media Built on a Tetherless Communication Infrastructure (co-supervised by S. Keshav)
    Dana Wilkinson (PhD, 2007)	Subjective Mapping (co-supervised by Dale Schuurmans and Mike Bowling)
    Reid Kerr (MMath, 2007)	Toward Secure Trust and Reputation Systems for Electronic Marketplaces (Winner of Alumni Gold Medal (Top Masters Student at UW))
    Jiye Li (PhD, 2007)	Rough Set Based Rule Evaluations and Their Applications (co-supervised by Nick Cercone)
    Kevin Regan (MMath, 2006)	A Social Reputation Model for Electronic Marketplaces Sensitive to Subjectivity, Deception and Change (Winner of Outstanding Achievement in Graduate Studies Award (Top Masters Student in Faculty of Mathematics at UW))
    Michael Cheng (MMath, 2005)	A Hybrid Transfer of Control Approach to Designing Adjustable Autonomy Multiagent Systems (Winner of Alumni Gold Medal (Top Masters Student at UW))
    Chris Micacchi (MMath, 2004)	An Architecture for Multi-Agent Systems Operating in Soft Real-Time Environments with Unexpected Events (Winner of Outstanding Achievement in Graduate Studies Award (Top Masters Student in Faculty of Mathematics at UW))
    Michael Fleming (PhD, 2003)	Reasoning about Interaction in Mixed-Initiative Artificial Intelligence Systems
    Thomas Tran (PhD, 2003)	Reputation-Oriented Reinforcement Learning Strategies for Economically-Motivated Agens in Electronic Market Environments (Winner of Governor General Gold Medal (Top PhD Student at UW))
    David Chen (MMath, 2002; Part-Time)	AERO: An Outsourced Approach to Execption Handling in Multiagent Systems
    Curtis Cartmill (MMath, 1999)	A Middle-Agent Architecture for Information Extraction
    Toby Donaldson (PhD, 1998)	A Computational Model of Turn-Taking in Discourse
    Michael Fleming (MMath, 1998)	Designing More Interactive Interface Agents
    Marzena Makuta (PhD, 1997)	A Computational Model of Lexical Cohesion Analysis and its Application to the Evaluation of Text Coherence
    Toby Donaldson (MMath, 1994)	Constraining Focus of Attention Through Domain and User Modeling in Natural Language Report Generation (co-supervised by Chrysanne Di Marco)
    Jennifer Chu (MMath, 1991)	Introducing a Multi-Dimensional User Model to Tailor Natural Language Generation
    Fei Song (PhD, 1991)	A Processing Model for Temporal Analysis and its Application to Plan Recognition
    Bruce Spencer (PhD, 1990)	Assimilation in Plan Recognition via Truth Maintenance with Reduced Redundancy
    Peter van Beek (PhD, 1990)	Exact and Approximate Reasoning about Qualitative Temporal Relations
    David Hsu (MMath, 1989)	A Processing Model for Re-Direction Clues in Discourse
    Mark Young (MMath, 1987)	The Design and Implementation of an Evidence Oracle for the Understanding of Arguments
    Peter van Beek (MMath, 1986)	A Computational Model for User-Specific Explanations From Expert Systems

    Undergraduate Research Assistants

    I have worked with a number of undergraduate assistants since 2013, as follows: (2013) Ofotsu Maccarthy, Michael Li, Elizabeth Woo, Disney Lam, Kamal Rahim, Eric Langlois; (2014) Kamal Rahim, Disney Lam; (2015) Geoffry Song, Michael Parrott; (2016) Michael Parrott, Lin Ai, William Fu; (2017) Yidong Liu, Daniel Ohashi, Nivedha Mathiarasu, Anthony Chan, Peng Fei Wang, Mengfei Liu, Joseph Winters, Sihao Liu, Daniel Zheng; (2018) Nivedha Mathiarasu, Haozhe Xu, Marco Lillek, Kevin Zhou, Toby Wang, Stefanie Low; (2019) Derek Tao, Zhuofu Tao, Chelsea Barta, Hillary Ngai, Tsz Leung, Lachlan Gray; (2020) Jason PNg, Wil Tan, Margaret Corwin, Raymond Zhao, Gary Lin, Andy Yang, Penny Yi, Xueguang Ma, Jesse Michelin, Andy Yang, Xueguang Ma; (2021) Tuneer Mondal, Queenie Chen; (2022) Andy Yang, Queenie Chen, Alyssa Song, Sinclair Hudson, Noah Cameron-Howe, Hong Yi Chen; (2023) Anna Xing, Betty Guo, E Awad, Wen Zhang, Talha Suboor; (2024) Yuxuan Guo; (2025) Roger Cao.

    Publications

    Most of the co-authors listed were graduate or undergraduate students under my supervision or were graduate students in one of my courses. Almost all of my papers reside with my co-authors. If you are interested in a paper and are somehow unable to locate it online, please reach out to one of the co-authors.

    Publication List

    I - Chapters in Books

    1. R. Cohen; From Trust Modeling to Trusted AI: Enlightened by the work of Falcone; book chapter in Waves of Trust. Science, Technology and Society: A tribute in honour of Rino Falcone; 30 pages, College Publications 2024.
       
       
    2. G. Kastidou and R. Cohen; Trust-Oriented Utility-Based Community Structure in Multiagent Systems; book chapter in Economic Models and Algorithms for Distributed Systems; D. Neumann, M. Baker, J. Altmann and O. Rama, eds; Nielsen Books; 2010; Spring Publishers; p.45-62 .
       
       
    3. J. Zhang, R. Cohen and K. Larson; A Trust-Based Incentive Mechanism for E-Marketplaces; Lecture Notes in Artificial Intelligence Special Issue on Trust in Agent Societies; R. Falcone, S. Barber, J. Sabater, M. Singh, eds.; Springer Publishers; p.135-161; February 2009.
       
       
    4. M. Fleming and R. Cohen; Mixed-Initiative Translation of Web Pages; book chapter in LNCS 1934 Envisioning Machine Translation in the Information Future; pgs 1-20; 2008.
       
       
    5. Kastidou, G. and Cohen, R.; An approach for delivering personalized advertisements in interactive TV customized to both users and advertisers; book chapter for Interactive Digital Television: Technologies and Applications; IDEA Group; April 2007 (20 pages).
       
       
    6. Song, F. and Cohen, R.; Tense interpretation in the context of narrative; Chapter 19 in The Language of Time: A Reader, I. Mani, J. Pustejovsky and R. Gaizauskas eds.; Oxford University Press, 2005 (12 pages)
       
       
    7. Cohen, R. and Fleming, M.; Adjusting the autonomy in mixed-initiative systems by reasoning about interaction; Chapter 7 in Agent Autonomy, H. Hexmoor, R. Falcone and C. Castlefranchi, eds.; Kluwer Academic Publishers; November 2002, p.105-120
       
       
    8. Cohen, R., Allaby, C., Cumbaa, C., Fitzgerald, M., Ho, K., Hui, B., Latulipe, C., Lu, F., Moussa, N., Pooley, D., Qian, A. and S. Siddiqi; What is Initiative?; in Computational Models of Mixed-Initiative Interaction, S. Haller, S. McRoy and A. Kobsa, eds.; Kluwer Academic Publishers, 1999
       
       
    9. Cohen, R.; Logic programming and the analysis of discourse; in Logic and Logic Grammars for Language Processing, P. Saint-Dizier and S. Szpakowicz eds., Ellis-Horwood series in Artificial Intelligence (1990) pp. 205-222
       
       
    10. Cohen, R. and Jones, M.; Incorporating User Models into Expert Systems for Educational Diagnosis; in User Models in Dialog Systems, A. Kobsa and W. Wahlster, eds., Springer Verlag; September 1989, pp. 313-33
        
        
    11. Cohen, R.; Studying Arguments to Gain Insight into Discourse Structure; in The Structure of Multimodal Dialogues, M.M. Taylor, F. Neel and D.G. Bouwhuis, eds., North-Holland. (July 1989); pp. 75-84
    
    
    

    II - Refereed Journal Publications

    1. S. Islam, G. Rjoub, H. Elmekki, J. Bentahar, W. Pedrycz and R. Cohen; Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques; Artificial Intelligence Review journal; March 2025; 47 pages.
       
       
    2. S. Islam, J. Bentahar, R. Cohen and G. Rjoub; A multi-modal unsupervised machine learning approach for biomedical signal processing during cardiopulmonary resuscitation; Information Sciences Journal; March 2025; 28 pages.
       
       
    3. O. Chambers, R. Cohen, M. Grossman, L. Hebert and E. Awad; Mining user study data to judge the merit of a model for supporting user-specific explanation of AI systems; Computational Intelligence journal; 44 pages; November 2024.
       
       
    4. R. Cohen, E. Awad, G. Sahu and M.T.Suboor; Online seminar-style presentation-based graduate courses in STEM: reflection and recommendations for tomorrow's professionals; Creative Education Journal special issue on Education and Information Technologies; Vol 15, Number 3; March 2024; 36 pages.
       
       
    5. A. Ghenai, P. Ayeni, J. Yu, R. Cohen and K. Moffatt; Guidelines for designing social networking sites for older adults: a systematic review with thematic synthesis; ACM Transactions on Accessible Computing; 24 pages; 2023.
       
       
    6. G. Rjoub, J. Bentahar, O. Abdel Wahab, R. Mizouni, A. Song, R. Cohen, H. Otrok. A. Mourad; A survey on explainable artificial intelligence for cybersecurity; IEEE Transactions on Network and Service Management; Vol.20, Iss.4; 32 pages; 2023.
       
       
    7. R. Cohen, A. Xing, H.Y. Chen, G. Sahu and N.K. Sreenivas; Online delivery of discussion-oriented postsecondary classes during critical health scenarios, educating responsible computer scientists towards improved societal trust in artificial intelligence; Creative Education Journal special issue on Education and Covid-19 pandemic; Volume 14, Number 4; April 2023; 22 pages.
       
       
    8. M. Cormier, R. Cohen, R. Mann, K. Moffatt, D. Vogel, M. Liu and S. Zheng; Validation of an improved vision-based webpage parsing pipeline; ACM Transactions on the Web; August 2022; 23 pages.
       
       
    9. G. Rjoub, O. Abdel Wahab, J. Bentahar, R. Cohen and A. Batineh; Trust-augmented deep reinforcement learning for federated learning client selection; Information Systems Frontiers journal; June 2022; 33 pages.
       
       
    10. O. Abdel Wahab, G. Rjoub, J. Bentahar and R. Cohen; Federated against the cold: a trust-based federated learning approach to counter the cold start problem in recommendation systems; Information Sciences journal; March 2022; 38 pages.
        
        
    11. A. Parmentier, R. Cohen, X. Ma, G. Sahu and Q. Chen; Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management; International Journal of Data Science and Analytics, special issue on Online Information Disorder; January 2022; 27 pages.
        
        
    12. R. Cohen, K. Moffatt, A. Ghenai, A. Yang, M. Corwin, G. Lin, R. Zhao, Y. Ji, A. Parmentier, J. Png, W. Tan and L. Gray; Addressing misinformation in online social networks: diverse platforms and the potential of multiagent trust modeling; Information journal special issue on Tackling Misinformation Online; November 2020; 40 pages.
        
        
    13. O. Wahab, R. Cohen, J. Bentahar, H. Otrok, A. Mourad, G. Rjoub; An Endorsement-based Trust Bootstrapping Approach for Newcomer Cloud Services; Information Sciences; 2020; 44 pages.
        
        
    14. R. Cohen, A. Parmentier, G. Melo, G. Sahu, A. Annamala, T. Clokie, A. Farrag, A. Naik. S. Naseem, S. Sakhuja, J. Wang, R. Clausi and A. Santin; Digital literacy for secondary school students: using computer technology to educate about credibility of content online; Creative Education Journal special issue on Education and Information Technology; 2020; 20 pages.
        
        
    15. J. Doucette, A. Tsang, H. Hosseini, K. Larson and R. Cohen; Inferring true voting outcomes in homopholic social networks; Autonomous Agents and Multiagent Systems Journal; 2019; 32 pages.
        
        
    16. N. Sardana, R. Cohen, J. Zhang and S. Chen; A Bayesian multiagent trust model for social networks; IEEE Transactions on Computational Social Systems; 2018; 14 pages.
        
        
    17. G. Pinhey, J. Doucette and R. Cohen; Using reservations for multiagent resource allocation with costly preemption; Multiagent and Grid Systems Journal, Volume 14, No 3; October 2018; p.219-242.
        
        
    18. H. Hosseini, K. Larson and R. Cohen; Investigating the characteristics of one-sided matching mechanisms under various preferences and risk attitudes; Autonomous Agents and Multiagent Systems Journal; Vol 32 Iss 4; 2018; 34 pages.
        
        
    19. R. Cohen, N. Mathiarasu, R. Aarif, S. Ansari, D. Fraser, M. Hegde, J. Henderson, I. Kajic, A. Khan, Z. Liao, A. Mancisidor, S. Nagpal, A. Pham, A. Saini, J. Shen, H. Singh, C. Tavares and S. Thandra; An education-based approach to aid in the prevention of cyberbullying; ACM SIGCAS Newsletter (Computers and Society); November 2017; 12 pages.
        
        
    20. R. Cohen, J. Finnson, T. Tran and J. Zhang; An ontological representation for trust-based decision making in transportation environments; Multiagent and Grid Systems; Volume 12, Number 4; January 2017; p.319-342.
        
        
    21. J. Doucette and R. Cohen; A testbed to enable comparisons between competing approaches for computational social choice; Big Data and Information Analytics special issue in memory of Nick Cercone; Volume 1, Number 4; October 2016; p.309-340.
        
        
    22. R. Cohen, A. Tsang, K. Vaidyanathan and H. Zhang; Analyzing opinion dynamics in online social networks; Big Data and Information Analytics special issue in memory of Nick Cercone; Volume 1, Number 4; October 2016; p.279-298.
        
        
    23. M. Cormier, K. Moffatt, R. Cohen and R. Mann; Purely vision-based segmentation of webpages for assistive technology; Computer Vision and Image Understanding special issue on assistive computer vision and robotics; Volume 148, July 2016, pp.46-66.
        
        
    24. J. Doucette, G. Pinhey and R. Cohen; Multiagent resource allocation for dynamic task arrivals with preemption; ACM Transactions on Intelligent Systems journal (TIST); Volume 8, Issue 1; October 2016; 22 pages.
        
        
    25. J. Champaign, R. Cohen and D.Y. Lam; Empowering patients and caregivers to manage healthcare via streamlined presentation of web objects; ACM Transactions on Intelligent Systems (TIST) special issue on Intelligent Healthcare Informatics; Vol. 6 No. 4; 46 pages; August 2015.
        
        
    26. R. Cohen, J. Zhang, J. Finnson, T. Tran and U. Minhas; A trust-based framework for vehicular travel with non-binary reports and its validation via an extensive simulation testbed; Journal of Trust Management; Vol. 1: 10; 34 pages; 2014.
        
        
    27. R. Cohen, D. Lam, N. Agarwal, M. Cormier, J. Jagdev, T. Jin, M. Kukreti, J. Liu, K. Rahim, R. Rawat, W. Sun, D. Wang, M. Wexler; Using computer technology to address the problem of cyberbullying; ACM SIGCAS Newsletter (Computers and Society), Vol. 44 No. 2; p.52-61; 2014.
        
        
    28. J. Champaign, R. Cohen, N. Sardana and J. Doucette; A framework to restrict viewing of peer commentary on web objects based on trust modeling; Social Network Analysis and Mining; Volume 4, Issue 1; December 2014; 25 pages.
        
        
    29. J. Champaign and R. Cohen; Ecological Content Sequencing: From Simulated Students to an Effective User Study; International Journal of Learning Technology; Vol 8, No 4; p.337-361; 2013.
        
        
    30. A. Seth, J. Zhang and R. Cohen; A personalized credibility model for recommending messages in social participatory media environments; World Wide Web Journal; July 2013; 27 pages.
        
        
    31. A. Khan, J. Doucette and R. Cohen; Validation of an Ontological Medical Decision Support System for Patient Treatment Using a Repository of Patient Data: Insights into the Value of Machine Learning; ACM Transactions on Intelligent Systems and Technology (TIST); Vol.4, No. 4 2013; 30 pages.
        
        
    32. J. Gorner, J. Zhang and R. Cohen; Improving Trust Modeling Through the Limit of Advisor Network Size and Use of Referrals; Electronic Commerce Research and Applications; Volume 12 Issue 2, April 2013, pages 112-123.
        
        
    33. H. Wang, J. Zhang, C. Wan, S. Shao and R. Cohen; Qualitative Preference-Based Service Selection for Multiple Agents; Web Intelligence and Agent Systems; Volume 11 Number 3; 2013; p.263-282.
        
        
    34. J. Zhang and R. Cohen; A Framework for Trust Modeling in Electronic Marketplaces with Buying Advisors to Consider Varying Seller Behavior and the Limiting of Seller Bids; ACM Transactions on Intelligent Systems and Technology (TIST) special issue on Trust in Multiagent Systems; Vol 4 No 2, Article 24; 24 pages; 2013 .
        
        
    35. R. Cohen, H. Jung, M. Fleming and M. Cheng; A User Modeling Approach to Reasoning About Interaction Sensitive to Bother and Its Application to Hospital Decision Scenarios; User Modeling and User Adapative Interaction Journal special issue on Personalization in e-Health; Volume 21, Numbers 4-5; October 2011; p.441-484.
        
        
    36. J. Zhang, R. Cohen and K. Larson; Combining Trust Modeling and Mechanism Design for Promoting Honesty in E-Marketplaces; Computational Intelligence, Volume 28, Issue 4, p.549-578, 2012
        
        
    37. J. Zhang, C. Chen and R. Cohen; Trust Modeling for Message Relay Control and Local Action Decision Making in VANETs; Security and Communication Networks journal; Volume 6, Issue 1, p.1-14; 2013 .
        
        
    38. J. Zhang, C. Chen and R. Cohen; A Scalable and Effective Trust-Based Framework for Vehicular Ad-Hoc Networks; Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications; Vol.5, No. 1; p.3-15; 2010.
        
        
    39. U. Minhas, J. Zhang, T. Tran and R. Cohen; A Multi-Faceted Approach to Modeling Agent Trust for Effective Communication in the Application of Mobile Ad-Hoc Vehicular Networks; IEEE Transactions on Systems, Man and Cybernetics, Part C - Applications and Reviews (SMCC), Volume 41, Issue 3; p.407-420; 2010.
        
        
    40. R. Kerr and R. Cohen; TREET: The Trust and Reputation Experimentation and Evaluation Testbed; Electronic Commerce Research Journal; Springer; Volume 10, Issue 3-4; pages 271-290; 2010 .
        
        
    41. U. Minhas, J. Zhang, T. Tran and R. Cohen Expanded Trust Management for Agents in Vehicular Ad-Hoc Networks; International Journal of Computational Intelligence Theory and Practice (IJCITP); Volume 5, Issue 1; 2010.
        
        
    42. R. Kerr and R. Cohen; Trust as a Tradable Commodity: A Foundation for Safe Electronic Marketplaces; Computational Intelligence Journal; Volume 25, Issue 2 pages 160-182; May 2010; Wiley-Blackwell .
        
        
    43. M. Sensoy, J. Zhang, P. Yolum and R. Cohen; POYRAZ: Context-Aware Service Selection Under Deception; Computational Intelligence Volume 25 Issue 4; November 2009; Wiley-Interscience; p.335-366.
        
        
    44. C. Micacchi and R. Cohen; A Framework for Simulating Real-Time Multiagent Systems; Knowledge and Information Sciences journal; Volume 17, Number 2; p.135-166; 2008.
        
        
    45. J. Zhang and R. Cohen; Evaluating the Trustworthiness of Advice about Selling Agents in E-Marketplaces: A Personalized Approach; Journal of Electronic Commerce and Research Applications; Volume 7, Issue 3; pp.330-340; 2008.
        
        
    46. Zhang, J., Ghorbani, A.and Cohen R.; A Familiarity-based Trust Model for Effective Selection of Sellers in Multiagent E-commerce Systems, International Journal of Information Security, Vol. 6, No. 5, p.333-344, 2007.
        
        
    47. Zhang, J., Kerr, R. and Cohen, R.; Promoting Security in Electronic Marketplaces through the Modeling of Trust; Journal of Business and Technology; Issue 2, 2007 (16 pages)
        
        
    48. Zhang, J. and Cohen R; A Comprehensive Approach for Sharing Semantic Web Trust Ratings, Computational Intelligence, Vol. 23, No. 3, p.302-319, 2007.
        
        
    49. Caine, A. and Cohen, R.; Tutoring an Entire Game Using Dynamic Strategy Graphs: The Mixed-Initiative Sudoku Tutor; Journal of Computers; Vol. 2, No. 1, p.20-32, February 2007.
        
        
    50. Micacchi, C. and Cohen, R.; A Multi-Agent Architecture for Robotic Systems in Real-Time Environments; International Journal of Robotics and Automation; Vol 21, 2006 (9 pages).
        
        
    51. Tran, T. and Cohen, R.; The Stability of Electronic Marketplaces Where Buying Agents Use Reliability Modeling to Select Selling Agents; Journal of Business and Technology; September 2005 (15 pages).
        
        
    52. Regan, K, Cohen, R. and Tran, T.; Designing Adaptive Buying Agents in Electronic Markets Using Advice from Other Buyers to Model Seller Reputation; Journal of Business and Technology; September 2005 (15 pages).
        
        
    53. Tran, T. and Cohen, R.; Equilibrium in e-markets populated with reputation-oriented learning agents; New Generation Computing Journal, Vol. 23, No. 1; November 2004 (10 pages).
        
        
    54. Tran, T. and Cohen, R.; The advantages of designing adaptive business agents using reputation modelling compared to the approach of recursive modelling; Computational Intelligence special issue on Business Agents and the Semantic Web, Vol. 20, No. 4; November 2004 (15 pages).
        
        
    55. Tran, T. and Cohen, R.; A reputation-oriented reinforcement learning strategy for agents in electronic marketplaces; Computational Intelligence, Vol. 18, No. 4, p.550-565; November 2002.
        
        
    56. Cohen, R., Allaby, C., Cumbaa, C., Fitzgerald, M., Ho, K., Hui, B., Latulipe, C., Lu, F., Moussa, N., Qian, A., Pooley, D. and Saddiqi, S.; What is Initiative; UMUAI Special Issue on Mixed-Initiative Interaction; Vol. 8, No. 3-4; pp.171-214; December 1998.
        
        
    57. Song, F. and Cohen, R.; A strengthened algorithm for temporal reasoning about plans; Computational Intelligence, Volume 12, Number 2, pp.331-356, 1996.
        
        
    58. van Beek, P., Cohen, R. and K. Schmidt; From plan critiquing to clarification dialogue for cooperative response generation; Computational Intelligence, Volume 9, Number 3, pp.132-154, 1993.
        
        
    59. Cohen, R., Song, F., Spencer, B. and P. van Beek; Exploiting Temporal and Novel Information from the User in Plan Recognition; User Modeling and User Adapted Interaction Journal, Vol. 1, No. 2, pp. 125-148 , 1991.
        
        
    60. Cohen, R. and Young, M.; Determining Evidence Relations in Natural Language Arguments; Computational Intelligence, Vol. 7, No. 2, pp. 110-118, 1991.
        
        
    61. Cohen, R.; Implementing a model for understanding goal-oriented discourse; International Journal of Intelligent Systems, Vol. 5.,pp. 1-31, 1990.
        
        
    62. Cohen, R.; A Processing Model for the Analysis of One-Way Arguments in Discourse; Argumentation, Vol. 4, pp. 53-68, 1990.
        
        
    63. van Beek, P. and Cohen, R.; Exact and Approximate Reasoning about Temporal Relations; Computational Intelligence, Vol. 6, pp 132-144 (1990).
        
        
    64. Cohen, R., Jones, M., Sanmugasunderam, A., Spencer, B. and L. Dent; Providing Responses Specific to a User's Goals and Background; International Journal of Expert Systems, Vol. 2, No. 2, pp 135-162 (1989).
        
        
    65. Gotlieb, C.C. and Cohen, R.; Educating Tomorrow's Professionals; Journal of Business Ethics; Vol. 8, No. 2 and 3; pp. 193-200 (1989)
        
        
    66. Cohen, R.; On the Relationship between User Models and Discourse Models; Computational Linguistics special issue on User Modeling, Vol. 14, No. 3, pp. 88-90 (September 1988).
        
        
    67. Cohen, R.; Analyzing the Structure of Argumentative Discourse; Computational Linguistics, Vol. 13, No: 1-2, pp. 11-24 (January - June 1987).
    
    
    

    III - Papers in Refereed Conference Proceedings

    1. M. Pitassi and R. Cohen; Advancing NHL Analytics through Explainable AI; Proceedings of Canadian Artificial Intelligence; 12 pages; 2024
       
       
    2. D. Shehata, R. Cohen and C. Clarke; Rumour evaluation with very large language models; Proceedings of Canadian Artificial Intelligence; 12 pages; 2024.
       
       
    3. L. Hebert, G. Sahu, Y. Guo, N. Sreenivas, L. Golab, and R. Cohen; Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media; Proceedings of AAAI 2024 (AI for Social Impact Track); 2024; 9 pages.
       
       
    4. L. Hebert, L. Golab, P. Poupart and R. Cohen; FedFormer: Contextual Federation with Attention in Reinforcement Learning; Proceedings of AAMAS 2023; 2023; 9 pages.
       
       
    5. N. K. Sreenivas and R. Cohen; Analyzing the effectiveness of stereotypes; Proceedings of ICAART 2023 conference; 2023; 8 pages.
       
       
    6. L. Hebert, H.Y. Chen, R. Cohen and L. Golab; Quantitative Analysis of a Graph Transformer Approach to Addressing Hate Speech; Proceedings of AAAI 2023 workshop on AI for Social Good; 8 pages.
       
       
    7. L. Hebert, H.Y. Chen, R. Cohen and L. Golab; Towards Proactive Hate Speech Detection Using Holistic Multi-Modal Graph Transformers; Proceedings of AAAI 2023 DeFactify workshop; 2 pages.
       
       
    8. L. Hebert, L. Golab and R. Cohen; Predicting hateful discussions on Reddit using graph transformer networks and communal context; Proceedings of 21st IEEE/WIC/ACM Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2022 Conference); November 2022; 9 pages.
       
       
    9. O. Chambers, R. Cohen, M. Grossman and Q. Chen; Creating a user model to support user-specific explanations of AI systems; UMAP 2022 workshop on Explainable User Models and Personalized Systems; July 2022; 6 pages.
       
       
    10. G. Sahu, R. Cohen and O. Vechtomova; Towards a Multi-agent System for Online Hate Speech Detection; Proceedings of AASG (Autonomous Agents for Social Good) Workshop at AAMAS 2021; 2021; 9 pages.
        
        
    11. A. Ghenai, X. Ma, R. Cohen, K. Moffatt, A. Yang and Y. Ji; E-health for older adults: navigating misinformation; Proceedings of ICT4AWE (Information Technologies and Communication Technologies for Ageing Well and e-Health) conference 2021; 2021; 8 pages.
        
        
    12. M. Cormier, R. Cohen, K. Moffatt and A. Chan; Improving viewing of webpages for users with assistive needs: insights into offline testing; Proceedings of IEEE/ACM Web Intelligence (WI) 2020; 2020; 8 pages.
        
        
    13. A. Parmentier, J. PNg, W. Tan and R. Cohen; Learning Reddit user reputation using graphical attention networks; Proceedings of Future Technologies Conference (FTC) 2020; 13 pages.
        
        
    14. H. Chen, K. Czarnecki, R. Cohen, K. Dautenhahn and E. Law; Autonomous vehicle visual signals for pedestrians: experiments and design recommendations; Proceedings of IEEE Intelligent Vehicles Symposium 2020; 8 pages.
        
        
    15. B. Hurl, R. Cohen, K. Czarnecki and S. Waslander; TruPercept: trust modelling for autonomous vehicle cooperative perception from synthetic data; Proceedings of IEEE Intelligent Vehicles Symposium 2020; 7 pages.
        
        
    16. J. Doucette, A. Tsang, H. Hosseini, K. Larson and R. Cohen; Inferring true voting outcomes in homophilic social networks; Proceedings of AAMAS 2020; 3 pages; 2020.
        
        
    17. A. Parmentier and R. Cohen; Personalized multi-faceted trust modeling in social networks; Proceedings of Canadian AI 2020; 6 pages; 2020.
        
        
    18. R. Agarwal, R. Cohen, L. Golab and A. Tsang; Locating influential agents in social networks: budget-constrained seed set selection; Proceedings of Canadian AI 2020; 12 pages; 2020.
        
        
    19. R. Cohen, R. Agarwal, D. Kumar, A. Parmentier and T. H. Leung; Sensitivity to risk profiles of users when developing AI systems; Proceedings of Canadian AI 2020; 12 pages; 2020.
        
        
    20. S. Sakhuja and R. Cohen; RideSafe: Detecting sexual harassment in rideshares; Proceedings of Canadian AI 2020; 6 pages; 2020.
        
        
    21. A. Parmentier and R. Cohen; Personalized prediction of trust links in social networks; AAAI 2020 Student Session; 2 pages; 2020.
        
        
    22. A. Parmentier and R. Cohen; Learning user reputation on Reddit; Proceedings of IEEE/WIC/ACM conference on Web Intelligence; 6 pages; 2019.
        
        
    23. M. Alliheedi, R. Mercer and R. Cohen; Annotation of rhetorical moves in biochemistry articles; ArgMine workshop at ACL 2019; 11 pages; 2019.
        
        
    24. A. Parmentier and R. Cohen; Learning user reputation on Reddit; Can-CS Student symposium 2019; 2 pages; 2019.
        
        
    25. D. Kumar, R. Cohen and L. Golab; Online abuse detection: the value of preprocessing and neural attention models; Proceedings of WASSA workshop at NAACL 2019; 9 pages; 2019.
        
        
    26. R. Cohen, M. Schaekermann, S. Liu and M. Cormier; Trusted AI and the contribution of trust modeling in multiagent systems; Proceedings of AAMAS 2019 (Blue Sky Ideas track); 5 pages; 2019.
        
        
    27. O. Wahab, J. Bentahar, R. Cohen, H. Otrok and A. Mourad; A two-level solution to fight against dishonest opinions in recommendation-based trust systems; Proceedings of Trust workshop at AAMAS 2019; 12 pages; 2019.
        
        
    28. G. Michalopoulos and R. Cohen; Comparing methods for advisor-based trust modeling with copying detection; Proceedings of Trust workshop at AAMAS 2019; 12 pages; 2019.
        
        
    29. A. Adhikari and R. Cohen; A POMDP based Context Aware Approach for Trust Modeling; Proceedings of Trust workshop at AAMAS 2019; 12 pages; 2019.
        
        
    30. Y. Xia, A. Parmentier and R. Cohen; Trust modeling in dynamic environments; Proceedings of Trust workshop at AAMAS 2019; 12 pages; 2019.
        
        
    31. R. Cohen, P. Wang and Z. Hu; Revisiting public reputation calculation in a personalized trust model; AAMAS/IJCAI/ECAI 2018 workshop on Trust; July 2018; 12 pages.
        
        
    32. W. Khan and R. Cohen; A multiagent framework for understanding addiction; Canadian conference on AI 2018; 12 pages; 2018.
        
        
    33. N. Shaw, A. Stoeckel, R. Orr, T. Lidbetter and R. Cohen; Towards provably moral AI agents in bottom-up learning environments; Proceedings of AAAI AI Ethics and Society Conference 2018; 7 pages; 2018.
        
        
    34. Y. Wang, D. Friya, K. Liu and R. Cohen; An architecture for an AI military system with ethical rules; AAAI 2018 Spring Symposium on AI and Ethics; 7 pages; 2018.
        
        
    35. N. Shaw, A. Stoeckel, R. Orr, T. Lidbetter and R. Cohen; Towards provably moral AI agents in bottom-up learning environments; AAAI 2018 Spring Symposium on AI and Ethics; 7 pages; 2018.
        
        
    36. D. Ohashi, R. Cohen and X. Fu; The current state of online social networking for the health community: where trust modeling research may be of value; Proceedings of ACM Digital Health 2017; 10 pages; 2017.
        
        
    37. M. Cormier, R. Mann, K. Moffatt and R. Cohen; Towards an improved vision-based web page segmentation algorithm; Proceedings of Computer and Robot Vision (CRV) 2017; 8 pages; 2017.
        
        
    38. J. Doucette and R. Cohen; A restricted Markov tree model for inference and generation in social choice; Proceedings of AAMAS 2017; 8 pages; 2017.
        
        
    39. M. Cormier, R. Mann, R. Cohen, and K. Moffatt; Classification via Hidden Markov Trees for a Vision-Based Approach to Conveying Webpages to Users with Assistive Needs; Proceedings of ACM Web Intelligence 2016; 6 pages; 2016.
        
        
    40. H. Hosseini, K. Larson and R. Cohen; Investigating the characteristics of one-sided matching mechanisms; Proceedings of AAMAS 2016; 2 pages; 2016
        
        
    41. H. Hosseini, K. Larson and R. Cohen; An empirical comparsion of one-sided matching mechanisms; Proceedings of EXPLORE workshop at AAMAS 2016; 8 pages; 2016
        
        
    42. J. Doucette and R. Cohen; Content of annual reports as a predictor for long term stock movement; Proceedings of FLAIRS 2015; 6 pages; 2015.
        
        
    43. J. Doucette, H. Hosseini, A. Tsang, R. Cohen and K. Larson; Voting with social networks: truth springs from argument among friends; Proceedings of EXPLORE workshop at AAMAS 2015; 8 pages; 2015.
        
        
    44. J. Doucette, K. Larson and R. Cohen; Conventional machine learning for social choice; AAAI 2015; 7 pages; 2015.
        
        
    45. H. Hosseini, K. Larson and R. Cohen; Matching with dynamic ordinal preferences; AAAI 2015; 8 pages; 2015.
        
        
    46. H. Hosseini, K. Larson and R. Cohen; On manipulability of random serial dictatorship in sequential matching with dynamic preferences; AAAI 2015 Student Session; 2 pages; 2015.
        
        
    47. M. Cormier, R. Cohen, R. Mann, K. Rahim and D. Wang; A robust vision-based framework for screen readers; ECCV 2014 workshop on assistive computer vision and robotics; 15 pages; September 2014.
        
        
    48. R. Cohen, N. Sardana, K. Rahim, D.Y. Lam, M. Li, O. Maccarthy, E. Woo and G. Guo; Reducing information overload in social networks through streamlined presentation: a study of content-centric and person-centric contexts; Proceedings of WIT-EC workshop at AAAI 2014; 6 pages; 2014.
        
        
    49. G. Kastidou, K. Larson and R. Cohen; A trust model for truthful disclosure of anticipated contributions in multiagent systems; Proceedings of WIT-EC workshop at AAAI 2014; 6 pages; 2014.
        
        
    50. N. Sardana and R. Cohen; Validating trust models against realworld data sets; Proceedings of Privacy, Security and Trust conference (PST); 8 pages; 2014.
        
        
    51. N. Sardana and R. Cohen; Demonstrating the value of credibility modeling for trust-based approaches to online message recommendation; Proceedings of Privacy, Security and Trust conference (PST); 8 pages; 2014.
        
        
    52. J. Doucette, K. Larson and R. Cohen; Imputation via voting, for winner determination with partial preferences; COMSOC (Fifth international workshop on computational social choice) 2014; June 2014.
        
        
    53. J. Doucette, K. Larson and R. Cohen; Approximate Winner Selection in Social Choice with Partial Preferences; Proceedings of EXPLORE workshop at AAMAS 2014; 9 pages; May 2014.
        
        
    54. T. Tran, R. Cohen and E. Langlois; Establishing trust in multiagent environments: realizing the comprehensive trust management dream; Proceedings of TRUST workshop at AAMAS 2014; 9 pages; 2014.
        
        
    55. H. Hosseini, K. Larson and R. Cohen; A Game-Theoretic Analysis of Admission Decisions in Hospitals; Proceedings of HCGAT workshop at AAMAS 2014; 3 pages; 2014
        
        
    56. N. Sardana and R. Cohen; Modeling agent trustworthiness with credibility for message recommendation in social networks; Proceedings of AAMAS 2014; p1423-1424; 2014.
        
        
    57. G. Pinhey, J. Doucette and R. Cohen; Distributed multiagent resource allocation with adaptive preemption for dynamic tasks; Proceedings of AAMAS 2014; p.1441-1442; 2014.
        
        
    58. D. Shaft and R. Cohen; A multiagent approach to ambulance allocation based on social welfare and local search; Proceedings of ICMLA 2013 conference; p. 384-389; December 2013.
        
        
    59. R. Cohen, N. Sardana, K. Rahim. D.Y. Lam, M. Li, O. Maccarthy, E. Woo, J. Zhang and G. Guo; Recommending messages to users in social networks: a cross-site study; Proceedings of ICMLA 2013 conference workshop on Big Data; 6 pages; December 2013.
        
        
    60. J. Doucette and R. Cohen; Addressing Pre-Emption Costs in Multiagent Resource Allocation for Medical Applications; AAAI 2013 workshop on Health Informatics and Artificial Intelligence (HIAI); 8 pages; July 2013.
        
        
    61. H. Hosseini, J. Hoey and R. Cohen; A Coordinated MDP Approach to Multi-Agent Resource Allocation, with Applications to Healthcare; AAMAS 2013 workshop on Multiagent Systems for Sequential Decision Making under Uncertainty (MSDM); 8 pages; May 2013.
        
        
    62. N. Sardana, J. Zhang and J. Champaign; Credibility-Based Trust in Social Networks; AAMAS 2013 workshop on Trust in Multiagent Systems (TRUST); 8 pages; May 2013.
        
        
    63. A. Khan, J. Doucette, R. Cohen and D. Lizotte; Integrating Machine Learning into a Medical Decision Support System to Address the Problem of Missing Patient Data; Proceedings of ICMLA 2012; December 2012; 4 pages.
        
        
    64. H. Hosseini, J. Hoey and R. Cohen; An Approximate Auction-Based Coordination Mechanism for Dynamic Patient Scheduling Under Uncertainty; Proceedings of INFORMS 2012; November 2012 (invited abstract).
        
        
    65. J. Champaign and R. Cohen; Leveraging a social network of peers for NetMedicine: personalizing the selection of web objects for improved health education; Proceedings of 1st International Workshop on Artificial Intelligence and NetMedicine at European Conference on Artificial Intelligence (ECAI); August 2012 (10 pages).
        
        
    66. J. Doucette, A. Khan, R. Cohen, D. J. Lizotte and H. M. Moghaddam; A Framework for AI-Based Clinical Decision Support that is Patient-Centric and Evidence-Based; Proceedings of EECAI Workshop on Netmedicine 2012; August 2012; 10 pages.
        
        
    67. J. Doucette, A. Khan, R. Cohen, and D. J. Lizotte; A Hybrid Design for Medical Decision Support using Data Mining to Impute Missing Data; Proceedings of KDD Workshop on Health Informatics 2012; August 2012; 8 pages.
        
        
    68. J. Champaign and R. Cohen; Learning from a network of peers via peer-driven adjustment of a corpus; Proceedings of SASWeb 2012: Semantic and Adaptive Social Web workshop at UMAP 2012 Conference; July 2012 (12 pages).
        
        
    69. J. Finnson, R. Cohen, J. Zhang, T. Tran and U. Minhas; Reasoning about User Trustworthiness with Non-Binary Advice from Peers' Proceedings of TRUM workshop at UMAP 2012; July 2012; 12 pages.
        
        
    70. J. Champaign and R. Cohen; Selective presentation of peer commentary on Web objects through a modeling of user similarity and reputability: reducing information overload in social networks; Proceedings of SRS 2012: Social Recommender Systems workshop at UMAP 2012 Conference; July 2012 (8 pages).
        
        
    71. J. Champaign and R. Cohen; Modeling trustworthiness of peer advice in a framework for presenting Web objects that supports peer commentary; Proceedings of TRUM 2012: Trust, Reputation and User Modeling workshop at UMAP 2012 Conference; July 2012 (12 pages).
        
        
    72. J. Champaign and R. Cohen; Personalized presentation of multimedia objects for home healthcare environments: a peer-based intelligent tutoring approach; Proceedings of TVM2P 2012: TV and Multimedia Personalization workshop at UMAP 2012 Conference; July 2012 (12 pages).
        
        
    73. H. Hosseini, J. Hoey and R. Cohen. A Market-based Coordination Mechanism for Resource Planning under Uncertainty. In Proceedings of AAAI 2012; July 2012.
        
        
    74. J. Finnson, J. Zhang, T. Tran, U. Minhas and R. Cohen. A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-hoc Networks and its Validation Through Simulated Traffic Flow. In Proceedings of UMAP 2012; July 2012.
        
        
    75. R. Kerr and R. Cohen. Detecting and Identifying Coalitions. In Proceedings of AAMAS 2012; June 2012.
        
        
    76. J. Doucette, A. Khan, and R. Cohen. A Comparative Evaluation of an Ontological Medical Decision Support System (OMeD) for Critical Environments. In Proceedings of the ACM International Health Informatics Symposium 2012; 5 pages; January 2012.
        
        
    77. H. Hosseini, J. Hoey, and R. Cohen. Multi-agent Patient Scheduling through Auctioned Decentralized MDPs. In Procedings of 6th INFORMS Workshop on Data Mining and Health Informatics 2011; 6 pages; November 2011.
        
        
    78. J. Champaign, R. Cohen, and J. Zhang. The Validation of an Annotations Approach to Peer Tutoring Through Simulation Incorporating the Modeling of Reputation. In Proceedings of International Conference on Computers in Education (ICCE); 5 pages; November 2011
        
        
    79. R. Kerr and R. Cohen. Detecting and Identifying Coalitions. In Proceedings of Twenty-Fifth Conference on Artificial Intelligence (AAAI 2011) Workshop on Plan, Activity and Intent Recognition; 8 pages; August 2011.
        
        
    80. A. Khan, J. Doucette, and R. Cohen. An Ontological Approach for Querying Distributed Heterogeneous Information Systems Under Critical Operational Environments. In Proceedings of the 3rd Canadian Semantic Web Symposium; pages 76-88; August 2011.
        
        
    81. J. Gorner, J. Zhang and R. Cohen. Improving the Use of Advisor Networks for Multi-Agent Trust Modelling, In Proceedings of the 9th Annual Conference on Privacy, Security and Trust (PST), 2011
        
        
    82. J. Champaign, J. Zhang, and R. Cohen. Coping with Poor Advice from Peers in Peer-Based Intelligent Tutoring: The Case of Avoiding Bad Annotations of Learning Objects. In Proceedings of User Modeling, Adaptation and Personalization (UMAP); 12 pages; July 2011
        
        
    83. J. Champaign and R. Cohen. Exploring the Effects of Errors in Assessment and Time Requirements of Learning Objects in a Peer-Based Intelligent Tutoring System (Intelligent Tutoring Track). In Proceedings of FLAIRS Conference; 6 pages; May, 2011
        
        
    84. A. Khan, J. Doucette, C. Jin, L. Fu, and R. Cohen. An Ontological Approach to Data Mining For Emergency Medicine. In Proceedings of the 2011 North East Decision Sciences Institute Annual Conference; 20 Pages; April 2011
        
        
    85. C. Chen, J. Zhang, R. Cohen and P. Ho; Secure and Efficient Trust Opinion Aggregation for Vehicular Ad-hoc Networks; Proceedings of 2010 IEEE Vehicular Technology Conference; 5 pages; 2010.
        
        
    86. H. Wang, J. Zhang, C. Wan, S. Shao, R. Cohen, J. Xu and P. Li; Web Service Selection for Multiple Agents with Incomplete Preferences; Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence (WI); 8 pages; 2010.
        
        
    87. U. Minhas, J. Zhang, T. Tran and R. Cohen; Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modelling Based on Direct Experience with Incentives for Honesty; Proceedings of IAT-2010; 5 pages; 2010.
        
        
    88. C. Chen, J. Zhang, R, Cohen, P. Ho; A Trust Modeling Framework for Message Propagation and Evaluation in VANETs; Proceedings of ITCS 2010; (Best Paper Award) 8 pages; 2010.
        
        
    89. A. Seth, J. Zhang, R. Cohen; Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media; Proceedings of 2010 International Conference on User Modeling, Adaptation and Personalization (UMAP); 12 pages; 2010.
        
        
    90. J. Zhang, R. Cohen and K. Larson; Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces; Proceedings of 2010 IFIP International Conference on Trust Management (IFIPTM); 16 pages; 2010.
        
        
    91. C. Chen, J. Zhang, R. Cohen and P. Ho; A Trust-Based Message Propagation and Evaluation Framework in VANETs; Proceedings of 2010 IFIPTM Conference; 8 pages; 2010.
        
        
    92. J. Champaign and R. Cohen; Peer-Based Intelligent Tutoring Systems: A Corpus-Oriented Approach; Proceedings of 2010 International Conference on Intelligent Tutoring Systems; 3 pages; 2010.
        
        
    93. J. Champaign and R. Cohen; An Annotations Approach to Peer Tutoring; Proceedings of 2010 Educational Data Mining Conference; 10 pages; 2010.
        
        
    94. J. Champaign and R. Cohen; A Distillation Approach to Refining Learning Objects; Proceedings of 2010 Educational Data Mining Conference; 2 pages; 2010.
        
        
    95. H. Jung and R. Cohen; A Model for Reasoning About Interaction with Users in Dynamic, Time-Critical Environments for the Application of Hospital Decision Making; Proceedings of 2010 Canadian Artificial Intelligence Conference (AI 2010); 4 pages; 2010.
        
        
    96. J. Champaign and R. Cohen; A Model for Content Sequencing in Intelligent Tutoring Systems Based on the Ecological Approach and Its Validation Through Simulated Students; Proceedings of 23rd FLAIRS Conference Special Track on Intelligent Tutoring Systems; 6 pages; 2010.
        
        
    97. U. Minhas, J. Zhang, T. Tran and R. Cohen; Promoting Effective Exchanges Between Vehicular Agents in Traffic Through Transportation-Oriented Trust Modeling; Proceedings of AAMAS 2010 Workshop on Agents in Traffic and Transportation; 10 pages; 2010.
        
        
    98. J. Champaign and R. Cohen; A Multiagent, Ecological Approach to Content Sequencing; Proceedings of AAMAS 2010 Workshop on Multiagent Systems for Education; 6 pages; 2010.
        
        
    99. J. Gorner and R. Cohen; Optimizing Advisor Network Size in a Personalized Trust-Modeling Framework for Multi-Agent Systems; Proceedings of AAMAS 2010 Workshop on Trust in Agent Socieites; 12 pages; 2010.
        
        
    100. Fung, J. Zhang, I. Aib, R. Cohen and R. Boutaba; Design of a Simulation Framework to Evaluate Trust Models for Collaborative Intrusion Detection; Proceedings of International Conference on Network and Service Security; 5 pages; 2009.
         
         
    101. O. Baysal, M. Godfrey and R. Cohen; A Bug You Like: A Framework for Automated Assignment of Bugs; Proceedings of 17th IEEE Conference on Program Comprehension; 2 pages; 2009.
         
         
    102. G. Kastidou, R. Cohen and K. Larson; A Graph-Based Approach for Promoting Honesty in Community-Based Multiagent Systems; IJCAI09 workshop on Coordination, Organizations, Institutions and Norms (COINS); 15 pages; 2009.
         
         
    103. G. Kastidou, K. Larson and R. Cohen; Exchanging Reputation Information Between Communities: A Payment Function Approach; Proceedings of IJCAI09; 8 pages; 2009.
         
         
    104. R. Kerr and R. Cohen; An Experimental Testbed for Evaluation of Trust and Reputation Systems; Proceedings of Third IFIP WG11.11 International Conference on Trust Management (IFIPTM09); 16 pages; 2009.
         
         
    105. R. Kerr and R. Cohen; Smart Cheaters Do Prosper: Defeating Trust and Reputation Systems; Proceedings of AAMAS09; 8 pages; 2009.
         
         
    106. F. Song, R. Cohen and S. Lin; Web People Search Based on Locality and Relative Similarity Measures; Proceedings of WePS-2 workshop; WWW2009 Conference; 5 pages; 2009.
         
         
    107. G. Kastidou and R. Cohen; Improving the Performance of Electronic Communities by Sharing Reputation Ratings of Users; Grace Murray Hopper Conference; October 2008; 4 pages.
         
         
    108. Zhang, J., Sensoy, M. and Cohen, R.; A Detailed Comparison of Probabilistic Approaches for Coping with Unfair Ratings in Trust and Reputation Systems; Sixth Annual Conference on Privacy, Security and Trust (PST08) ; 2008 (12 pages)
         
         
    109. Zhang, J. and Cohen, R.; Seller Bidding in a Trust-based Incentive Mechanism for Dynamic E-marketplaces; Canadian Conference on Artificial Intelligence (AI08); 2008 (12 pages)
         
         
    110. Zhang, J., Larson, K. and Cohen, R.; Theoretical Validation and Extended Experimental Support for a Trust-Based Incentive Mechanism for E-Marketplaces; Conference on Autonomous Agents and Multiagent Systems (AAMAS08) Workshop on Trust in Agent Societies; 2008 (10 pages)
         
         
    111. Seth, A., Zhang, J. and Cohen, R.; A Multi-Disciplinary Approach for Recommending Weblog Messages; National Conference on Artificial Intelligence (AAAI08) Workshop on Enhanced Messaging; 2008 (6 pages)
         
         
    112. Seth, A., Zhang, J. and Cohen, R.; A Subjective Credibility Model for Participatory Media; National Conference on Artificial Intelligence (AAAI08) Workshop on on Intelligent Techniques for Web Personalization & Recommender Systems; 2008 (12 pages)
         
         
    113. Kastidou, G. and Cohen, R.; Trust-Oriented Utility-Based Community Structure in Multiagent Systems; Workshop on Economic Models for Distributed Systems, SIGAPP Mardigras Conference, January 2008 (10 pages).
         
         
    114. Li, J., Cercone, N. and Cohen R.; Addressing missing attributes during data mining using frequent itemsets and rough set based predictions; IEEE International Conference on Granular Computing; November 2007 (7 pages).
         
         
    115. Zhang, J. and Cohen R.; Design of a Mechanism for Promoting Honesty in E-Marketplaces; Twenty-second national conference on Artificial Intelligence (AAAI07); July 2007 (6 pages).
         
         
    116. Kerr, R. and Cohen, R.; Guaranteed Security in Trust and Reputation Systems; AAMAS07 workshop on Trust in in Agent Societies; May 2007 (11 pages).
         
         
    117. Zhang, J. and Cohen R.; Towards More Effective E-Marketplaces: A Novel Incentive Mechanism; AAMAS07 workshop on Trust in in Agent Societies; May 2007 (12 pages).
         
         
    118. Zhang, J. and Cohen R.; An Incentive Mechanism for Eliciting Fair Ratings of Sellers in E-Marketplaces; Proceedings of AAMAS07; May 2007 (3 pages).
         
         
    119. Kerr, R. and Cohen, R.; Towards Provably Secure Trust and Reputation Systems in E-Marketplaces; Proceedings of AAMAS07; May 2007 (3 pages).
         
         
    120. Zhang, J. and Cohen R; Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings; AAAI Spring Symposium on Interaction Challenges for Artificial Assistants; March 2007 (8 pages).
         
         
    121. Kerr, R. and Cohen, R.; Modeling Trust Using Transactional, Numerical Units; Proceedings of International Conference on Privacy, Security and Trust PST 2006, October 2006 (11 pages).
         
         
    122. Zhang, J., Ghorbani, A. and Cohen R; An Improved Familiarity Measurement for Formalization of Trust in E-Commerce Based Multiagent Systems; PST 2006, October 2006 (10 pages).
         
         
    123. Zhang, J. and Cohen R; Trusting Advice from Other Buyers in E-Marketplaces: The Problem of Unfair Ratings; International Conference on Electronic Commerce 2006, August 2006, (10 pages)
         
         
    124. Regan, K., Poupart, P. and Cohen, R.; Bayesian Repuation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change; AAAI06, July 2006 (6 pages)
         
         
    125. Caine, A. and Cohen, R.; MITS: A Mixed-Initiative Intelligent Tutoring System for Sudoku; Canadian Artificial Intelligence Conference (AI06), (12 pages).
         
         
    126. Cheng, M. and Cohen, R.; Integrating information gathering interaction into transfer of control strategies in adjustable autonomy multiagent systems; Canadian Artificial Intelligence Conference (AI06); June 2006 (12 pages).
         
         
    127. Zhang, J. and Cohen R; A Trust Model for Sharing Ratings of Information Providers on the Semantic Web; Canadian Semantic Web Working Symposium; (13 pages).
         
         
    128. Kastidou, G. and Cohen, R.; An approach for delivering personalized ads in interactive TV customized to both users and advertisers; EuroiTV Conference; May 2006 (10 pages).
         
         
    129. Kerr, R. and Cohen, R.; Trunits: A Monetary Approch to Modeling Trust in Electronic Marketplaces; AAMAS06 workshop on Trust in Multiagent Systems; May 2006 (11 pages).
         
         
    130. Zhang, J. and Cohen R; A Personalized Approach to Address Unfair Ratings in Multiagent Reputation Systems; AAMAS06 workshop on Trust in Multiagent Systems; May 2006 (10 pages).
         
         
    131. Chodos, D. and Cohen, R.; A methodology combining email and web pages for announcing research opportunities to researchers at a university; SIGMIS-CPR2006 conference; April 2006 (12 pages).
         
         
    132. Cohen, R., Cheng, M. and Fleming, M.; Why bother about bother: Is it worth it to ask the user?; AAAI05 Fall Symposium on Mixed-Initiative Systems; November 2005 (8 pages).
         
         
    133. Regan, K., Cohen, R. and Poupart, P.; The Advisor POMDP: A Principled Approach to Trust Through Reputation in Electronic Markets; Best Student Paper Award: Proceedings of Privacy, Security and Trust Conference 2005; November 2005 (10 pages).
         
         
    134. Cheng, M. and Cohen, R.; Reasoning about interaction in a multi-user system; User Modeling 2005 Conference; July 2005 (11 pages).
         
         
    135. Regan, K., Tran, T. and Cohen, R.; Sharing models of sellers amongst buying agents in electronic marketplaces; DASUM workshop at User Modeling 2005 Conference; July 2005 (6 pages).
         
         
    136. Cheng, M. and Cohen, R.; A hybrid transfer of control model for adjustable autonomy multiagent systems; Autonomous Agents and Multi-Agent Systems Conference (AAMAS) 2005; July 2005; (4 pages).
         
         
    137. Cheng, M., Micacchi, C. and Cohen, R; Adjusting the autonomy of collections of agents in multiagent systems; AI 2005 Conference; May 2005 (5 pages).
         
         
    138. Regan, K. and Cohen, R.; Indirect reputation assessment for adaptive buying agents in electronic markets; Baseweb workshop at AI 2005 Conference; May 2005 (11 pages).
         
         
    139. Tran, T. and Cohen, R.; Improving user satisfaction in agent-based electronic marketplaces by reputation modelling and adjustable product quality; Proceedings of the Autonomous Agents and Multi-Agent Systems Conference (AAMAS) 2004; July 2004, p. 828-835.
         
         
    140. Micacchi, C. and Cohen, R.; An architecture for managing teams of agents operating in soft real-time environments with unexpected events; AAMAS04 workshop on Coalitions and Teams; July 2004 (8 pages).
         
         
    141. Tran, T. and Cohen, R.; The macro behaviour of e-marketplaces based on reputation modelling; Proceedings of Baseweb04 workshop, held at AI04; May 2004, p.21-30.
         
         
    142. Micacchi, C. and Cohen, R.; A multi-agent architecture for systems operating in real-time environments; AI04 workshop on agents meets robotics; May 2004, p.27-32.
         
         
    143. Fleming, M. and Cohen, R.; A decision procedure for autonomous agents to reason about interaction with humans; AAAI04 Spring Symposium on interaction between humans and autonomous systems over extended operation; March 2004, p.81-86.
         
         
    144. Fleming, M. and Cohen, R.; Reasoning about interaction in mixed-initiative AI systems; IJCAI03 workshop on mixed-initiative intelligent systems; August 2003 (10 pages).
         
         
    145. Tran, T. and Cohen, R.; Learning algorithms for software agents in uncertain and untrusted market environments; Proceedings of IJCAI03; August 2003, p. 1475-1476.
         
         
    146. Tran, T. and Cohen, R.; Modelling reputation in agent-based marketplaces to improve the performance of buying agents; Proceedings of UM03; June 2003, p. 273-282.
         
         
    147. Dai, W. and Cohen, R.; Dynamic personalized TV recommendation system; Proceedings of UM03 workshop on Personalization in Future TV; June 2003 (10 pages).
         
         
    148. Tran, T. and Cohen, R.; A strategy for improved satisfaction of selling software agents in e-commerce; Proceedings of AI03; June 2003, p.434-446.
         
         
    149. Cohen, R.; Safeguarding user privacy in the context of personal digital assistants; CSCW2002 workshop on privacy in digital environments: empowering users; November 2002 (4 pages).
         
         
    150. Tran, T. and Cohen, R.; A learning algorithm for agents in electronic marketplaces; AAAI02 workshop on multi-agent modeling and simulation of economic systems; August 2002, p.31-43.
         
         
    151. Chen, D. and Cohen, R.; AERO: an outsourced approach to exception handling in multi-agent systems; Proceedings of AI02; May 2002, p.16-30.
         
         
    152. Tran, T. and Cohen, R.; A learning algorithm for buying and selling agents in electronic marketplaces; Proceedings of AI02; May 2002, p.31-43.
         
         
    153. Fleming, M. and Cohen, R.; A utility-based theory of initiative in mixed-initiative systems; IJCAI01 workshop on autonomy, delegation and control: interacting with autonomous agents; August 2001, p.58-65.
         
         
    154. Chen, D. and Cohen, R.; Outsourced exception handling for agent systems; IJCAI01 workshop on autonomy, delegation and control: interacting with autonomous agents; August 2001 (8 pages).
         
         
    155. Tran, T. and Cohen, R.; A learning strategy for economically-motivated agents in market environments; IJCAI01 workshop on knowledge discovery from distributed, dynamic, heterogeneous, autonomous sources; August 2001, p.51-56.
         
         
    156. Fleming, M. and Cohen, R.; A user modeling approach to determining system initiative in mixed-initiative AI systems; Proceedings of User Modeling 2001 conference; July 2001, p.54-63.
         
         
    157. Fleming, M. and Cohen, R.; Dialogue as decision making under uncertainty: the case of mixed-initiative AI systems; North American Computational Linguistics workshop on adaptation in dialogue systems (NAACL01); June 2001 (2 pages).
         
         
    158. Cohen, R., Vanderheyden, P., Fleming, M. and Cartmill, C.; Meeting Users' Information Needs Through Interaction; poster session, Intelligent User Interfaces conference (IUI2001); January 2001.
         
         
    159. Fleming, M. and Cohen, R.; Mixed-Initiative Translation of Web Pages; Proceedings of the Association for Machine Translation in the Americas (AMTA2000), ; October 2000, p.25-29.
         
         
    160. Vanderheyden, P. and Cohen, R; Interfacing Issues for Information Extraction; Proceedings of AAAI2000 (Student Session); p.1096; July 2000.
         
         
    161. Tran, T. and Cohen, R.; Hybrid Recommender Systems for Electronic Commerce; AAAI2000 workshop on Knowledge-Based Electronic Markets; p.78-84; July 2000.
         
         
    162. Fleming, M. and Cohen, R.; System Initiative Influenced by Underlying Representations in Mixed-Initiative Planning Systems; AAAI2000 workshop on Representational Issues for Real-World Planning Systems; pp.18-21; July 2000.
         
         
    163. Vanderheyden, P. and Cohen, R.; Adaptive User Interfaces for Information Extraction; AAAI2000 Spring Symposium on Adaptive User Interfaces; pp.136-141; March 2000.
         
         
    164. Cohen, R. and Fleming, M., Plans underlying mixed-initiative intelligent interfaces; Proceedings of IUI2000 workshop on Using Plans in Intelligent User Interfaces; pp.23-25; January 2000.
         
         
    165. Cartmill, C. and Cohen, R.; A Multi-Agent Framework for Facilitating Information Extraction; Proceedings of IJCAI99 workshop on Intelligent Workflow; 5 pgs.; August 1999.
         
         
    166. Fleming, M. and Cohen, R; Towards a Methodology for Designing and Evaluating Mixed-Initiative AI Systems; Proceedings of AAAI99 workshop on Mixed-Initiative Intelligence; pp.130-134; July 1999.
         
         
    167. Vanderheyden, P. and Cohen, R.; Designing a Mixed-Initiative Information Extraction System; Proceedings of AAAI99 workshop on Mixed-Initiative Intelligence; pp.142-146; July 1999.
         
         
    168. Cartmill, C. and Cohen, R.; Insights into the design of middle agent architectures; Proceedings of AAAI99 workshop on Electronic Commerce and AI; p.111-112; July 1999.
         
         
    169. Cartmill, C. and Cohen, R.; A multi-agent framework for facilitating information extraction; Proceedings of AAAI99 workshop on Intelligent Information Systems; 3 pgs.; July 1999.
         
         
    170. Fleming, M. and Cohen, R.; User modeling and the design of more interactive interfaces; UM99 conference; pp.67-76; May 1999.
         
         
    171. Vanderheyden, P. and Cohen, R.; A Dynamic Interface for a Dynamic Task: Information Extraction and Evolving Queries; AAAI Spring Symposium on Autonomous Agents with Adjustable Autonomy; pp.120-123; March 1999.
         
         
    172. Vanderheyden, P. and Cohen, R.; Information extraction and the casual user; AAAI98 workshop on information integration; pp.137-142; July 1998.
         
         
    173. Fleming, M. and Cohen, R.; Interactive interface agents as recommender systems; AAAI98 workshop on recommender systems; pp.42-46; July 1998.
         
         
    174. Fleming, M. and Cohen, R.; Designing more interactive interface agents; AAAI98 workshop on software agent tools; Madison, WI: pp.125-126; 1998.
         
         
    175. Donaldson, T. and Cohen, R.; Planning the next action with constraints; Proceedings of AI98 (Canadian AI conference); 7 pgs.; May 1998.
         
         
    176. Fleming, M. and Cohen, R.; User modeling and the design of more interactive interfaces; UM99 conference; (May 1999).
         
         
    177. Vanderheyden, P. and Cohen, R.; A Dynamic Interface for a Dynamic Task: Information Extraction and Evolving Queries; AAAI Spring Symposium on Autonomous Agents with Adjustable Autonomy; Stanford, CA.; March 1999.
         
         
    178. Vanderheyden, P. and Cohen, R.; Information extraction and the casual user; AAAI98 workshop on information integration; Madison, WI; 1998.
         
         
    179. Fleming, M. and Cohen, R.; Interactive interface agents as recommender systems; AAAI98 workshop on recommender systems; Madison, WI; 1998.
         
         
    180. Fleming, M. and Cohen, R.; Designing more interactive interface agents; AAAI98 workshop on software agent tools; Madison, WI: 1998.
         
         
    181. Donaldson, T. and Cohen, R.; Planning the next action with constraints; Proceedings of AI98 (Canadian AI conference); Vancouver, B.C.; 1998.
         
         
    182. Donaldson, T. and Cohen, R.; Constraint-based discourse agents; AAAI97 workshop on constraints and agents; July 1997.
         
         
    183. Donaldson, T. and Cohen, R.; Computer-generated dialog as a resource-bounded activity; AAAI97 workshop on resource-bounded processing; July 1997.
         
         
    184. Donaldson, T. and Cohen, R.; A constraint satisfaction framework for managing mixed-initiative discourse; AAAI97 Spring symposium on mixed-initiative interaction; March 1997.
         
         
    185. Donaldson, T. and Cohen, R.; Turn-taking in discourse and its application to the design of intelligent agents; AAAI96 workshop on intelligent agents. Portland, Oregon; August 1996.
         
         
    186. Donaldson, T., Makuta, M. and R. Cohen; An integrated approach to evaluating text coherence and its application to the prevention of reader misconceptions (or the joy of detecting incoherence in text); AAAI96 workshop on miscommunication in discourse. Portland, Oregon; August 1996.
         
         
    187. Donaldson, T. and Cohen, R.; Addressing user misconceptions within a goal-oriented, turn-taking framework for dialogue; AAAI96 workshop on miscommunication in discourse. Portland, Oregon; August 1996.
         
         
    188. Ardissono, L. and Cohen, R.; Extending the role of user feedback in plan recognition and response generation for advice-giving systems: an initial report; Proceedings of AI96; Toronto, Ontario; May 1996.
         
         
    189. Song, F. and Cohen, R.; Improving heuristic-based temporal analysis of narratives with aspect determination; Proceedings of International Joint Conference on Artificial Intelligence (IJCAI) 1995; Montreal, Quebec; August 1995.
         
         
    190. Ardissono, L. and Cohen, R.; On the value of user modeling for improving plan recognition; IJCAI95 workshop on the next generation of plan recognition systems; Montreal, Quebec; August 1995.
         
         
    191. Cohen, R., Spencer, B. and P. Hoyt; Designing a tool to allow updates during plan recognition - challenges and applications; Proceedings of 6th international conference on Tools with Artificial Intelligence (TAI '94), November 1994.
         
         
    192. Cohen, R.; Discussion group on a self-directed study version of an AI course; AAAI Fall Symposium on teaching introductory AI, November 1994.
         
         
    193. Cohen, R., Schmidt, K. and P. van Beek; Relevance in plan recognition for advice-giving systems; Proceedings of AAAI Fall Symposium on Relevance, November 1994.
         
         
    194. Cohen, R., Schmidt, K. and P. van Beek; A framework for soliciting clarification from users during plan recognition; Proceedings of User Modeling conference 1994, August 1994.
         
         
    195. Spencer, B. and Cohen, R.; A Non-Horn ATMS which allows flexible specification of required completeness; Proceedings of CSCSI 94, May 1994.
         
         
    196. Cohen, L. and Cohen, R.; Electronic mail: changing communication within the academic setting; Canadian Psychological Association convention, May 1993.
         
         
    197. Cohen,R. and Spencer, B.; Specifying and updating plan libraries for plan recognition; Proceedings of 9th IEEE conference on AI applications (CAIA), March 1993.
         
         
    198. van Beek, P., Cohen, R. and K. Schmidt; Towards Building a Cooperative Advice-Giving System; AAAI Spring Symposium on Producing Cooperative Explanations, Stanford, CA, March 1992.
         
         
    199. Chu, J. and Cohen, R.; TailoringNatural Language Generation by User Model Attributes; 4th International Symposium on Artificial Intelligence; Cancun, Mexico, November 1991.
         
         
    200. van Beek, P. and Cohen, R.; Resolving Plan Ambiguity for Cooperative Response Generation; Proceedings of IJCAI91, August 1991.
         
         
    201. Song, F. and Cohen, R.; Tense Interpretation in the Context of Narrative; Proceedings of AAAI91, July 1991.
         
         
    202. Song, F. and Cohen, R.; Temporal Reasoning during Plan Recognition; Proceedings of AAAI91, July 1991.
         
         
    203. Cohen, R.; In Search of Practical Specifications - Allowing the User a More Active Role; AAAI91 Spring Symposium on Implemented KR and Reasoning Systems, March 1991.
         
         
    204. Cohen, R.; Evaluating Criteria for Natural Language Generation Systems - What must be included and what must be avoided; AAAI90 workshop on evaluating Generation Systems; July 1990.
         
         
    205. van Beek, P. and Cohen, R.; Resolving Plan Ambiguity for Response Generation; Fifth international workshop on Natural Language Generation; June 1990.
         
         
    206. Cohen, R., Song, F., Spencer, B. and P. van Beek; Plan Recognition Beyond Fixed Plan Libraries; Second international workshop on User Modeling; March 1990.
         
         
    207. Cohen, R.; Dimensions of User Modeling for Disambiguating Complex Input; International Joint Conference on Artificial Intelligence (IJCAI) workshop on Intelligent Interfaces: August 1989.
         
         
    208. Cohen, R. and Spencer, B.; Research Interests in Plan Recognition: Assimilating Novel Plans; International Joint Conference on Artificial Intelligence (IJCAI) workshop on plan recognition; August 1989.
         
         
    209. Cohen, R.; Recognizing Plans in Discourse; American Association for Artificial Intelligence (AAAI) workshop on Plan Recognition; St. Paul, Minnesota; August 1988.
         
         
    210. Cohen, R.; Producing User-Specific Explanations; American Association for Artificial Intelligence (AAAI) workshop on explanation; St. Paul, Minnesota; August 1988.
         
         
    211. Song, F. and Cohen, R.; The Interpretation of Temporal Relations in Narrative, Proceedings of American Association of Artificial Intelligence (AAAI) 1988 conference, St. Paul, Minnesota, August 1988.
         
         
    212. Young, M. and Cohen, R.; An Evidence Oracle for Argument Understanding; Proceedings of Canadian society for Computational Studies of Intelligence (CSCSI) 1988 conference; Edmonton, Alberta; May 1988.
         
         
    213. Cohen, R.; Interpreting Clues in Conjunction with Processing Restrictions in Arguments and Discourse; Proceedings of the American Association for Artificial Intelligence (AAAI) 1987 conference; May 1987.
         
         
    214. van Beek, P. and Cohen, R.; Towards User-Specific Explanations from Expert Systems; Proceedings of Canadian Society for Computational Studies of Intelligence (CSCSI) 1986 conference; May 1986.
         
         
    215. Cohen, R.; The Need for Pragmatics in Natural Language Understanding; Proceedings of CSCSI-sponsored Theoretical Advances in Natural Language Understanding; May 1985.
         
         
    216. Cohen, R.; A Computational Theory of the Function of Clue Words in Argument Understanding; Proceedings of International Computational Linguistics Society (COLING) 1984 conference; June 1984.
         
         
    217. Cohen, R.; A Theory of Discourse Coherence for Argument Understanding; Proceedings of Canadian Society for Computational Studies of Intelligence (CSCSI) 1984 conference; May 1984.
         
         
    218. Cohen, R.; Investigation of Processing Strategies for the Structural Analysis of Arguments; Proceedings of ACL(Association for Computational Linguistics) Conference 1981; June 1981.
         
         
    219. Cohen, R.; Understanding Arguments; Proceedings of CSCSI (Canadian AI Society) Conference 1980; May 1980.

    Conference Organization Chair Positions

    2019	Co-Chair, Trust workshop at AAMAS 2019
    2018	Co-Chair, Trust workshop at AAMAS 2018
    2016	Co-Chair, Trust workshop at AAMAS 2016
    2014	Co-Chair, Trust workshop at AAMAS 2014
    2012	Co-Chair, Doctoral Consortium at UMAP 2012
    2002	Co-Chair, Canadian Artificial Intelligence Conference
    1992	Co-Chair, User Modeling Conference

    Leaves of Absence and Part-Time

    1996-1997	50% Partial Leave (September to August)
    1994-1994	Unpaid Leave (January to October)
    1991-1992	Maternity Leave (May to October)