4CAPS: An adaptive architecture for human information processing

Sashank Varma, Marcel Just

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

4CAPS is a cognitive architecture of interest to both cognitive science and AI. 4CAPS is of interest to cognitive science because it supports models of neuroimaging data collected using fMRI and PET. 4CAPS should be of interest to AI because it organizes human information processing in an optimal and mathematically tractable form. This paper focuses on the adaptivity of 4CAPS models in the face of changing task demands and fluctuating resource availability. It illustrates this adaptivity in the domains of problem solving, spatial reasoning, and sentence comprehension. It also identifies new forms of adaptivity ripe for future research.

Original languageEnglish (US)
Title of host publicationBetween a Rock and a Hard Place
Subtitle of host publicationCognitive Science Principles Meet AI-Hard Problems - Papers from the AAAI Spring Symposium, Technical Report
Pages91-96
Number of pages6
StatePublished - Aug 21 2006
Event2006 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 27 2006Mar 29 2006

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-06-02

Conference

Conference2006 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA
Period3/27/063/29/06

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