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Topic: structure mapping

Seminar
2 seminars

In Artificial Intelligence and Cognition

Seminar · Artificial Intelligence

Implementing structure mapping as a prior in deep learning models for abstract reasoning

Shashank Shekhar · University of Guelph

Thu, Mar 3, 2022 · 04:00 UTC

Building conceptual abstractions from sensory information and then reasoning about them is central to human intelligence. Abstract reasoning both relies on, and is facilitated by, our ability to make analogies about concepts from known domains to novel domains. Structure Mapping Theory of human analogical reasoning posits that analogical mappings rely on (higher-order) relations and not on the sensory content of the domain. This enables humans to reason systematically about novel domains, a problem with which machine learning (ML) models tend to struggle. We introduce a two-stage neural net fr

Seminar · Cognition

Beyond the binding problem: From basic affordances to symbolic thought

John E. Hummel · University of Illinois

Thu, Sep 30, 2021 · 16:00 UTC

Human cognitive abilities seem qualitatively different from the cognitive abilities of other primates, a difference Penn, Holyoak, and Povinelli (2008) attribute to role-based relational reasoning—inferences and generalizations based on the relational roles to which objects (and other relations) are bound, rather than just the features of the objects themselves. Role-based relational reasoning depends on the ability to dynamically bind arguments to relational roles. But dynamic binding cannot be sufficient for relational thinking: Some non-human animals solve the dynamic binding problem, at le