Yorkville
at the Toronto Downtown Centre
at the Toronto Downtown Centre
Aggregation
Details
Jul 24 @ 09:00 EDT
- Jul 24 @ 10:20 EDT
In-person session
Presentations
AI-assisted decision-making: a cognitive modeling approach to infer latent reliance strategies
Cultural Consensus Theory for two-dimensional location judgments
Applying cognitive models to wisdom of crowds with spatial knowledge extension
Learning/Judgment
Details
Jul 24 @ 10:40 EDT
- Jul 24 @ 12:00 EDT
In-person session
Presentations
Reconciling categorization and memory via environmental statistics
Fixation-gated encoding accounts for attention biases during recognition and categorization
How does source independence influence persuasiveness, and why?
Applications
Details
Jul 24 @ 15:40 EDT
- Jul 24 @ 17:00 EDT
In-person session
Presentations
Implementing online strategy and change detection algorithms in cognitive models using sequential Monte Carlo sampling for use In autonomous systems
Denoising and debiasing medical image decisions using representational smoothening
A theory driven joint model of delusion proneness for two popular delusion measuring tasks
Judgment
Details
Jul 25 @ 09:00 EDT
- Jul 25 @ 10:20 EDT
In-person session
Presentations
Forming numerosity representations: A theory of selective sampling
When alternative hypotheses shape your beliefs: Context effects in probability judgments
Testing sampling-based models of probability judgments with an event ranking task
Information sampling biases during the accumulation of qualitative evidence
Measurement
Details
Jul 25 @ 10:40 EDT
- Jul 25 @ 12:00 EDT
In-person session
Presentations
Solving the problem of error in measurement theory: A procedure for testing the general linear model under monotonicity.
Uniting Fechner and Stevens
Measurement theory sans Archimedes or order, with applications to logic, probability, and choice
Decision
Details
Jul 26 @ 09:00 EDT
- Jul 26 @ 10:20 EDT
In-person session
Presentations
Testing 49 different forms of Cumulative Prospect Theory
Model fit using sheaves
Non-trivial predictive asymmetries among decision models and where they come from
Modeling response heaping for the feeling thermometer ratings with mixture models