SCM: Schedule

Note: Final schedule may change; please see Learn for most up-to-date schedule.

DateTopicReading due BEFORE class
   
SEMESTER 1
Tue, Sep 16Welcome and intro to SCM<none>
Thu, Sep 18Intro to cognitive science<none>
Tue, Sep 23Decoding a cogsci paperKunda, M., McGreggor, K., & Goel, A. K. (2013). A computational model for solving problems from the Raven’s Progressive Matrices intelligence test using iconic visual representations. Cognitive Systems Research, 22, 47-66.
Thu, Sep 25Theories, models, & evaluationThagard, P. (2005). Mind: Introduction to cognitive science. MIT press.  Chapter 1.
Tue, Sep 30Knowledge representationsTolman, E. C. (1948). Cognitive maps in rats and men. Psychological review, 55(4), 189.
Thu, Oct 02Knowledge representationsMarkman, A. B. (1998). Knowledge representation. Psychology Press.  Chapter 1.
Tue, Oct 07Culture & cognitionHenrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world?. Behavioral and brain sciences, 33(2-3), 61-83.
Thu, Oct 09Culture & cognitionTomasello, M. (1999). The Human Adaptation for Culture. Annual Review of Anthropology, 509-529.
Tue, Oct 14Cognitive architecturesLangley, P., Laird, J. E., & Rogers, S. (2009). Cognitive architectures: Research issues and challenges. Cognitive Systems Research, 10(2), 141-160.
Thu, Oct 16Cognitive architecturesJones, R. M., Laird, J. E., Nielsen, P. E., Coulter, K. J., Kenny, P., & Koss, F. V. (1999). Automated intelligent pilots for combat flight simulation. AI magazine, 20(1), 27-27.
Tue, Oct 21Multiagent modelsBalaji, P. G., & Srinivasan, D. (2010). An introduction to multi-agent systems. In Innovations in multi-agent systems and applications-1 (pp. 1-27). Berlin, Heidelberg: Springer Berlin Heidelberg.
Thu, Oct 23Multiagent modelsSun, R. (2001). Cognitive science meets multi-agent systems: A prolegomenon. Philosophical psychology, 14(1), 5-28.
Tue, Oct 28Drift diffusion modelsMyers, C. E., Interian, A., & Moustafa, A. A. (2022). A practical introduction to using the drift diffusion model of decision-making in cognitive psychology, neuroscience, and health sciences. Frontiers in Psychology, 13, 1039172.
Thu, Oct 30Drift diffusion modelsGupta, A., Bansal, R., Alashwal, H., Kacar, A. S., Balci, F., & Moustafa, A. A. (2022). Neural substrates of the drift-diffusion model in brain disorders. Frontiers in computational neuroscience, 15, 678232.
Tue, Nov 04Graphical & Bayesian modelsPerfors, A., Tenenbaum, J. B., Griffiths, T. L., & Xu, F. (2011). A tutorial introduction to Bayesian models of cognitive development. Cognition, 120(3), 302-321.
Thu, Nov 06Graphical & Bayesian modelsDanks, D. (2014). Unifying the mind: Cognitive representations as graphical models. Mit Press.  Chapter 3: A primer on graphical models
Tue, Nov 11Neural networksNielsen, M. A. (2015). Neural networks and deep learning. Online book.  Chapter 1 (omit 1.6 "Implementing our network")
Thu, Nov 13Neural networksNielsen, M. A. (2015). Neural networks and deep learning. Online book.  Chapter 6.
Tue, Nov 18Reinforcement learningSutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction. Cambridge: MIT press. Chapter 1.
Thu, Nov 20Reinforcement learningBotvinick, M., Wang, J. X., Dabney, W., Miller, K. J., & Kurth-Nelson, Z. (2020). Deep reinforcement learning and its neuroscientific implications. Neuron, 107(4), 603-616.
Tue, Nov 25LLMsRiedl, M. (2023).  A Very Gentle Introduction to Large Language Models without the Hype.   Medium.   https://mark-riedl.medium.com/a-very-gentle-introduction-to-large-language-models-without-the-hype-5f67941fa59e
Thu, Nov 27LLMsMahowald, K., Ivanova, A. A., Blank, I. A., Kanwisher, N., Tenenbaum, J. B., & Fedorenko, E. (2024). Dissociating language and thought in large language models. Trends in cognitive sciences, 28(6), 517-540.
   
   
SEMESTER 2
Tue, Jan 13Semester 2 welcome<none>
Thu, Jan 15Visual communication<none>
Tue, Jan 20Commentary<none>
Thu, Jan 22Peer review<none>
Tue, Jan 27class optional - essay Q&A<none>
Thu, Jan 29class optional - essay Q&A<none>
Fri, Jan 30essay due at 12:00pm noon 
Tue, Feb 03TBDTBD
Thu, Feb 05TBDTBD
Tue, Feb 10TBDTBD
Thu, Feb 12TBDTBD
Tue, Feb 17no class - flex learning week 
Thu, Feb 19no class - flex learning week 
Tue, Feb 24TBDTBD
Thu, Feb 26TBDTBD
Tue, Mar 03TBDTBD
Thu, Mar 05TBDTBD
Tue, Mar 10TBDTBD
Thu, Mar 12TBDTBD
Tue, Mar 17TBDTBD
Thu, Mar 19TBDTBD
Tue, Mar 24TBDTBD
Thu, Mar 26TBDTBD
Tue, Mar 31Professional topicsTBD
Thu, Apr 02SCM wrap-upTBD
License
Creative Commons - Attribution Non-Commercial