Towards a comprehensive Standard Model of human-like minds

Thomas R Hinrichs, Kenneth D Forbus

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


The Standard Model of particle physics has been an effective framework for describing entities of the domain relative to each other and thereby predicting missing particles. In this sense, it plays a similar role to the periodic table of the elements. Could something analogous work for AI? In this paper, we propose a dozen elements of a standard model of the mind and characterize their interrelationships. Naturally, this set reflects our own experience and biases and is not exhaustive. We also describe some of the ways in which this approach to a standard model differs from that in physics and suggest some limitations.

Original languageEnglish (US)
Title of host publicationFS-17-01
Subtitle of host publicationArtificial Intelligence for Human-Robot Interaction; FS-17-02: Cognitive Assistance in Government and Public Sector Applications; FS-17-03: Deep Models and Artificial Intelligence for Military Applications: Potentials, Theories, Practices, Tools and Risks; FS-17-04: Human-Agent Groups: Studies, Algorithms and Challenges; FS-17-05: A Standard Model of the Mind
PublisherAI Access Foundation
Number of pages6
ISBN (Electronic)9781577357940
StatePublished - Jan 1 2017
Event2017 AAAI Fall Symposium - Arlington, United States
Duration: Nov 9 2017Nov 11 2017

Publication series

NameAAAI Fall Symposium - Technical Report
VolumeFS-17-01 - FS-17-05


Other2017 AAAI Fall Symposium
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Engineering(all)


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