The CogSci 2020 Program includes a full day of workshops on July 29, 2020. These nine workshops detailed below are happening simultaneously. When you register for this year’s virutal conference, you will be asked to select one of the following workshops to attend. There is no added cost.
Links to join your registered workshop, were sent to each registrant via email. If you wish to attend a different workshop, please login to the Virtual Conference Platform, and go to ‘View Schedule’ in the Session Lobby.
W1: Mental effort: One construct, many faces?
Presenters – Sebastian Musslick: Princeton University; Maria Wirzberger: University of Stuttgart ; Ivan Grahek: Brown University; Laura A. Bustamante: Princeton University; Amitai Shenhav: Brown University; Jonathan Cohen: Princeton University.
W3: The Origins of Common Sense in Humans and Machines
Presenters – Kevin A Smith: Massachusetts Institute of Technology; Eliza Kosoy: UC Berkeley ; Alison Gopnik: University of California at Berkeley; Deepak Pathak: Carnegie Mellon University; Alan Fern: Oregon State University; Josh Tenenbaum: MIT; Tomer D. Ullman: Harvard University
W5: From Efficient Coding to Information Gain: Information-Theoretic Principles in Models of Human Decision Making
Presenters – Mikaela Akrenius: Indiana University Bloomington; Laurence T Maloney: New York University; Jonathan D. Nelson: University of Surrey
In recent years, theories and methods based on the information-theoretic notion of uncertainty have re-emerged in different areas of cognitive modeling. Many of these applications share the assumption that a perceived (or neurally coded) reduction in uncertainty carries psychological utility, and that this reduction can be quantified using information entropy. This has inspired theoretical frameworks that aim to describe cognitive function under a unified formal theory, or as being governed by a single principle. However, given the diversity of models that the notion of reducing entropy is embedded in, it appears likely that this conclusion is overly simplified. The goal of the proposed workshop is to bring together cognitive scientists, neuroscientists, physicists, economists, philosophers, and computational biologists to (1) establish information-theoretic principles that extend across tasks and disciplines and can be modeled using similar or analogous notions, and (2) diagnose limiting cases in which these principles break or carry fundamentally different meanings. The workshop will feature presentations from invited speakers, flash talks by participants, break-out sessions with speakers, and a panel discussion.
W7: Making Science Accessible: A Co-design of Non-visual Representations for Visually Impaired Students
Presenters – Pui Yee Nikkie To: OCAD University; Christopher M. Schiafone: University of Guelph-Humber; Marta Wnuczko: OCAD University; Peter Coppin: OCAD University; Runa Patel: York University; Robert Aaron Ingino: SenseTech Solutions
W9: Building neural processing accounts of higher cognition in Dynamic Field Theory
Presenters – Gregor Schöner: Ruhr-Universität Bochum; Aaron Buss: University of Tennessee
The Cognitive Science Society is pleased to announce the establishment of the CogSci Grove which aims to mobilise cognitive scientists to offset carbon emissions associated with their professional activities.