The purpose of this article is to begin the process of engaging the international research community in developing what can be called a standard model of the mind, where the mind we have in mind here is human-like. The notion of a standard model has its roots in physics, where over more than a half-century the international community has developed and tested a standard model that combines much of what is known about particles. This model is assumed to be internally consistent, yet still have major gaps. Its function is to serve as a cumulative reference point for the field while also driving efforts to both extend and break it.
%0 Journal Article
%1 LairdLebiereRosenbloom17aimag
%A Laird, John E.
%A Lebiere, Christian
%A Rosenbloom, Paul S.
%D 2017
%J AI Magazine
%K 01801 paper ai cognitive science system architecture
%N 4
%P 13--26
%R 10.1609/aimag.v38i4.2744
%T A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics
%V 38
%X The purpose of this article is to begin the process of engaging the international research community in developing what can be called a standard model of the mind, where the mind we have in mind here is human-like. The notion of a standard model has its roots in physics, where over more than a half-century the international community has developed and tested a standard model that combines much of what is known about particles. This model is assumed to be internally consistent, yet still have major gaps. Its function is to serve as a cumulative reference point for the field while also driving efforts to both extend and break it.
@article{LairdLebiereRosenbloom17aimag,
abstract = {The purpose of this article is to begin the process of engaging the international research community in developing what can be called a standard model of the mind, where the mind we have in mind here is human-like. The notion of a standard model has its roots in physics, where over more than a half-century the international community has developed and tested a standard model that combines much of what is known about particles. This model is assumed to be internally consistent, yet still have major gaps. Its function is to serve as a cumulative reference point for the field while also driving efforts to both extend and break it.},
added-at = {2018-01-16T08:19:01.000+0100},
author = {Laird, John E. and Lebiere, Christian and Rosenbloom, Paul S.},
biburl = {https://www.bibsonomy.org/bibtex/2e11623b5b5adb6d530bf6556c908ea8c/flint63},
copyright = {Copyright (c) 2017 AI Magazine},
doi = {10.1609/aimag.v38i4.2744},
file = {AAAI online:2017/LairdLebiereRosenbloom17aimag.pdf:PDF},
groups = {public},
interhash = {7071d84e9fe1af7d9fca82e06e7f94ac},
intrahash = {e11623b5b5adb6d530bf6556c908ea8c},
issn = {0738-4602},
journal = {AI Magazine},
keywords = {01801 paper ai cognitive science system architecture},
month = {#dec#},
number = 4,
pages = {13--26},
timestamp = {2018-04-16T12:36:38.000+0200},
title = {A Standard Model of the Mind: Toward a Common Computational Framework across {Artificial Intelligence}, {Cognitive Science}, {Neuroscience}, and {Robotics}},
username = {flint63},
volume = 38,
year = 2017
}