TY - GEN
T1 - Towards a comprehensive Standard Model of human-like minds
AU - Hinrichs, Thomas R
AU - Forbus, Kenneth D
N1 - Publisher Copyright:
Copyright © 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85044476656&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044476656&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85044476656
T3 - AAAI Fall Symposium - Technical Report
SP - 359
EP - 364
BT - FS-17-01
PB - AI Access Foundation
T2 - 2017 AAAI Fall Symposium
Y2 - 9 November 2017 through 11 November 2017
ER -