Abstract

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
Pages359-364
Number of pages6
VolumeFS-17-01 - FS-17-05
ISBN (Electronic)9781577357940
StatePublished - Jan 1 2017
Event2017 AAAI Fall Symposium - Arlington, United States
Duration: Nov 9 2017Nov 11 2017

Other

Other2017 AAAI Fall Symposium
CountryUnited States
CityArlington
Period11/9/1711/11/17

Fingerprint

High energy physics
Physics

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Hinrichs, T. R., & Forbus, K. D. (2017). Towards a comprehensive Standard Model of human-like minds. In FS-17-01: Artificial 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 (Vol. FS-17-01 - FS-17-05, pp. 359-364). AI Access Foundation.
Hinrichs, Thomas R ; Forbus, Kenneth D. / Towards a comprehensive Standard Model of human-like minds. FS-17-01: Artificial 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. Vol. FS-17-01 - FS-17-05 AI Access Foundation, 2017. pp. 359-364
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Hinrichs, TR & Forbus, KD 2017, Towards a comprehensive Standard Model of human-like minds. in FS-17-01: Artificial 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. vol. FS-17-01 - FS-17-05, AI Access Foundation, pp. 359-364, 2017 AAAI Fall Symposium, Arlington, United States, 11/9/17.

Towards a comprehensive Standard Model of human-like minds. / Hinrichs, Thomas R; Forbus, Kenneth D.

FS-17-01: Artificial 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. Vol. FS-17-01 - FS-17-05 AI Access Foundation, 2017. p. 359-364.

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

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Hinrichs TR, Forbus KD. Towards a comprehensive Standard Model of human-like minds. In FS-17-01: Artificial 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. Vol. FS-17-01 - FS-17-05. AI Access Foundation. 2017. p. 359-364