Integration and Interactions among Cognitive Architecture Learning Modules

Abstract

The goal of our research is to take advantage of recent advances in neuroscience, psychology, and cognitive modeling to develop comp"utational models of semantic and episodic memory that improve the ability of cognitive architectures to model human performance and improve the cognitive capabilities for general artificial agents. We will develop abstract models of the human system and characterize and implement models that capture the key functional capabilities of human memory at a level that is compatible with many existing cognitive architectures. Specifically we will attempt to develop a hybrid symbolic/activation-based computational model of semantic and episodic learning and implement it in the Soar cognitive architecture. Our goal is to develop a computationally precise chara"cterization that can also be implemented in other cognitive architectures, such as ACT-R.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 06, 2017
Source ID
N000141812010

Entities

People

  • John E. Laird

Organizations

  • Board of Regents of the University of Michigan
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

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