Explore the concepts of modularity, attention, and credit assignment in computational systems through this lecture by Anirudh Goyal from the Institute for Advanced Study. Delve into topics such as the Stroop Effect, complex generalization, independent mechanisms, and decomposition of knowledge. Examine variant representations, type argument functions, and selective activation of frames. Investigate the role of attention, indirection, and belief in computational models. Learn about independent representations and partial word models through illustrative examples and audience questions. Gain insights into the architecture of complex systems and their applications in cognitive science and artificial intelligence.
Modularity, Attention and Credit Assignment Computations - Anirudh Goyal
Institute for Advanced Study via YouTube
Overview
Syllabus
Introduction
Stroop Effect
Complex generalization
Data generating distribution
Independent mechanisms
Decomposition of knowledge
Example
Variant Representation
Desertrata
By Example
Audience Question
Type Argument Functions
Attention
Indirection
Assignment
Summary
Two tasks
Architecture
Selective activation of frames
Communication sharing
An illustrative example
Why such a model
Belief and Attention
Distractions
Independent representations
Partial word models
References
Taught by
Institute for Advanced Study
