Psychology
Title: Functional specificity in the human brain
Title: Exemplar Model Accounts of Relations and Dissociations Between Categorization and Recognition
Abstract:
Title: Scene representation by echolocation in bats
Title: The computational linguistics of food, innovation, and community
Title: Laws of form in Perception: Aesthetic theory, the Golden Ratio and Depth Perception
Title: TBA
Abstract: TBA
Probabilistic models of human cognition have been widely successful at capturing the ways that people represent and reason with uncertain knowledge. In this talk I will explore the ways that this probabilistic approach can be applied to systematic and productive reasoning – in particular, natural language pragmatics and semantics. I will first describe how probabilistic programming languages provide a formal tool encompassing probabilistic uncertainty and compositional structure. I'll illustrate with a examples from inductive reasoning and social cognition.
Lecture given by Dr. Elizabeth Redcay from the Psychology Department at the University of Maryland, College Park.
For more information, see the flier here.
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