Fall 2022
COGSCI600: Cognitive Science

Schedule: Wednesdays 1230pm-3pm
Room: DC 2585
Instructor: Jesse Hoey

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Schedule (subject to change)

See readings for links to other papers of interest. Material that is not available online at the library will be handed out in class or on Slack. This list will be updated as the course progresses. Invited speakers (home departments) and to be confirmed [potential topics] are shown.

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• September 7th, 2022 Jesse Hoey (Computer Science): Introduction to Cognitive Science and Artificial Intelligence
  Readings:
  • Tomasello, M. What is it like to be a chimpanzee?. Synthese 200, 102 (2022).
  Other material:
  • Course introduction slides and video introduction
  • Cognitive Science Intro slides
  • Nick Haslam, Stephen Loghnan, Yoshihisa Kashima and Paul Bain (2009). Attributing and Denying humanness to others. European Review of Social Pscyhology, 19:1, 55-85.
  • Nagel, Thomas What Is It Like to Be a Bat?. The Philosophical Review. 83 (4): 435–450.
  • Thagard, Paul, Cognitive Science, The Stanford Encyclopedia of Philosophy (July 2014 revision), Edward N. Zalta (ed.).

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• September 14th, 2022 James Danckert (Psychology):
  Readings:
  • Shane W. Bench and Heather C. Lench On the Function of Boredom Behavioral Sciences, 2013, 3.
  Other material:
  • Lecture slides
  • Katy Y. Y. Tam, Wijnand A. P. van Tilburg, Christian S. Chan1, Eric R. Igou, and Hakwan Lau Attention Drifting In and Out: The Boredom Feedback Model Personality and Social Psychology Review 2021, Vol. 25(3) 251–272.
  • Andriy A. Struk, Abigail A. Scholer, James Danckert and Paul Seli Rich environments, dull experiences: how environment can exacerbate the effect of constraint on the experience of boredom Cognition and Emotion, 2020.
  • Jhotisha Mugon, Andriy Struk and James Danckert A Failure to Launch: Regulatory Modes and Boredom Proneness Frontiers in Psychology, 2018.
  • Julia Isacescu, Andriy Anatolievich Struk and James Danckert Cognitive and affective predictors of boredom proneness Cognition and Emotion, 2017.
  • Andreas Elpidorou The bright side of boredom. Frontiers in Psychology 2014.
  • James Danckert, Jhotisha Mugon, Andriy Struk, and John Eastwood Boredom: What Is It Good For? in The Function of Emotions, 2018.

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• September 21st, 2022 Mathieu Doucet (Philosophy)
  Readings:
  • Fazelpour and Danks Algorithmic bias: Senses, sources, solutions, Philosophy Compass, 2020.
  Other material:
  • Lecture slides
  • Sara Hooker Moving beyond algorithmic bias is a data problem, Patterns, 2021
  • Pratik Gajane and Mykola Pechenizkiy On Formalizing Fairness in Prediction with Machine Learning ArXiv, 2017.
  • Shira Mitchell et al Algorithmic Fairness: Choices, Assumptions, and Definitions, Annual review of statistics and its application, 2021.

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• September 28th, 2022 Michael Furlong (Neuroscience)
  Readings:
  • Furlong and Eliasmith Fractional Binding in Vector Symbolic Architectures as Quasi-Probability Statements 2022 local version.
  Other material (read these first if the reading above is not clear):
  • Lecture slides
  • Pentti Kanerva Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors. 2009 local version
  • Voelker et al. Simulating and Predicting Dynamical Systems with Spatial Semantic Pointers 2021 local version

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• October 5, 2022 James Wallace (Health)
  Readings (pick one):
  • Marcela C. C. Bomfim, Sharon I. Kirkpatrick, Lennart E. Nacke, and James R. Wallace. 2020. Food Literacy while Shopping: Motivating Informed Food Purchasing Behaviour with a Situated Gameful App. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–13. local version.
  • Robert P Gauthier, Mary Jean Costello, and James R Wallace. 2022. "I Will Not Drink With You Today": A Topic-Guided Thematic Analysis of Addiction Recovery on Reddit. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 20, 1–17. local version
  Other material:
  • Lecture slides
  • (very) recently published paper on food literacy heuristics
  • Robert’s follow-up paper on the Computational Thematic Analysis Toolkit
  • Github repository for the toolkit

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• October 19th Chris Eliasmith (Philosophy/Theoretical Neuroscience)
  
  Reading:
  • Chris Eliasmith Terrence C. Stewart, Xuan Choo, Trevor Bekolay, Travis DeWolf, Yichuan Tang, Daniel Rasmussen. A Large-Scale Model of the Functioning Brain Science 338, 1202 (2012) doi:10.1126/science.1225266 local version
  Other material:
  • Slides
  • some videos about Spaun.
  • Supplementary Material to the Science paper

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• October 26th Cosmin Munteanu (Health/HCI)
  Readings:
  • Bennett Axtell and Cosmin Munteanu "Back to Real Pictures": A Cross-generational Understanding of Users' Mental Models of Photo Cloud Storage Ubicomp, 2019
  Other material:
  • Jaisie Sin and Cosmin Munteanu Partners in life and online search: Investigating older couples’ collaborative information seeking CHIIR 2022
  • Winter Wei, Cosmin Munteanu and Martin Halvey An Empirically Grounded Sociotechnical Perspective on Designing Virtual Agents for Older Adults SIN 2019
  • Cosmin Munteanu et al. Designing for older adults (partial book chapter - full version is here)

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• Nov 2nd Sam Johnson (Psychology)
  Readings:
  • Johnson, S.G.B., and Ahn, J. (2021). Principles of moral accounting: How our intuitive moral sense balances rights and wrongs. Cognition, 206, 104467.
  Other material:
  • Talk Slides
  • Cushman, F., Young, L., and Hauser, M. (2006). The role of conscious reasoning and intuition in moral judgment: Testing three principles of harm. Psychological Science, 17, 1082–1089.
  • Haidt, J. (2007). The new synthesis in moral psychology. Science, 316, 998–1002.
  • Johnson, S.G.B., and Park, S.Y. (2021). Moral signaling through donations of money and time. Organizational Behavior and Human Decision Processes, 165, 183–196.

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• Nov 9th Dan Brown (CS)
  Readings:
  • Lamb, Brown, Clarke: Evaluating computational creativity: An interdisciplinary tutorial. 2019. local version
  Other material:
  • Aaron Hertzmann: Can computers create art?
  • Thomas Claburn: How GitHub Copilot could steer Microsoft into a copyright storm
  • Kevin Roose: AI-Generated Art Won a Prize Artists Aren’t Happy. 2022. local version
  • Adi Robinson: The US Copyright Office says an AI can’t copyright its art.

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• Nov 15th Craig Kaplan (CS)
  Readings (pick one)
  • Frieder Nake Information Aesthetics: An heroic experiment. Journal of Mathematics and the Arts Volume 6, 2012 - Issue 2-3, 212 local version
  • Vilayanur Ramachandran and William Hirstein The science of art: A neurological theory of aesthetic experience. Journal of Consciousness Studies 6 (6-7):15-41. Plates
  Other material:
  • Ramachandran gave a fantastic series of lectures in the UK in 2003, titled The Emerging Mind. The third lecture, titled The ArtFul Brain, covers a lot of the same material in the paper above.
  • Aaron Hertzmann has written many excellent articles related to art, computer science, and AI. Dan Brown already offered one above. I will suggest two additional papers of his. The first is Non-Photorealistic Rendering and the Science of Art (Proceedings of NPAR 2010), which lays out a vision for creation and evaluation of computer-generated art. The second is Computers do not make art, people do (CACM, May 2020), which reflects on similar ideas, but in an age where computer-generated art is ruled by AI techniques.
  • Bathsheba Grossman wrote a two-page opinion piece (manifesto?) about legitimizing mathematical art, titled Talking About Math/Art: The Long Pause

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• November 23,30: Student presentations

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