Large Declarative Memories in ACT-R

Abstract

The development of large-scale cognitive models introduces significant computational challenges. Large declarative memories are a case in point. It is not computationally feasible to load a large declarative memory into the process space available for execution of a cognitive model. Fortunately, computer science provides us with relational databases to support access to large external stores of information from within an executing process. This paper motivates and describes the interfacing of the ACT-R cognitive architecture with a relational database to support large declarative memories within ACT-R models.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2009
Accession Number
ADA548526

Entities

People

  • Jerry Ball
  • Scott Douglass
  • Stuart Rodgers

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Cognition
  • Cognitive Systems Engineering
  • Computer Programming
  • Computers
  • Data Storage Systems
  • Database Management Systems
  • Databases
  • Governments
  • Language
  • Lisp Programming Language
  • Relational Database Management Systems
  • Relational Databases
  • Software Development
  • United Kingdom

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Database Systems and Applications
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space