Evolution of the ICARUS Cognitive Architecture

被引：25

作者：

Choi, Dongkyu ^{[1
]}

Langley, Pat ^{[2
]}

机构：

[1] Univ Kansas, Dept Aerosp Engn, 1530 West 15th St, Lawrence, KS 66049 USA

[2] Inst Study Learning & Expertise, 2164 Staunton Court, Palo Alto, CA 94306 USA

来源：

COGNITIVE SYSTEMS RESEARCH | 2018年 / 48卷

基金：

美国国家科学基金会;

关键词：

Cognitive architectures; General intelligence; Embodied agents;

D O I：

10.1016/j.cogsys.2017.05.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cognitive architectures serve as both unified theories of the mind and as computational infrastructures for constructing intelligent agents. In this article, we review the evolution of one such framework, ICARUS, over the three decades of its development. We discuss the representational and processing assumptions made by different versions of the architecture, their relation to alternative theories, and some promising directions for future research. (C) 2017 Published by Elsevier B.V.

引用

页码：25 / 38

页数：14

共 56 条

[1]

[Anonymous], 1987, Cognition and Emotion, DOI [10.1080/02699938708408049, DOI 10.1080/02699938708408049]

[2]

[Anonymous], MACHINE LEARNING MET

[3]

[Anonymous], SOAR COGNITIVE ARCHI

[4]

[Anonymous], 1998, The Atomic Components of Thought

[5]

Asgharbeygi N, 2005, LECT NOTES ARTIF INT, V3625, P20

[6] Experiences with an architecture for intelligent, reactive agents [J].

Bonasso, RP ;

Firby, RJ ;

Gat, E ;

Kortenkamp, D ;

Miller, DP ;

Slack, MG .

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 1997, 9 (2-3) :237-256

[7]

Carbonell Jaime., 1991, Architectures for Intelligence

[8] Ability, Breadth, and Parsimony in Computational Models of Higher-Order Cognition [J].

Cassimatis, Nicholas L. ;

Bello, Paul ;

Langley, Pat .

COGNITIVE SCIENCE, 2008, 32 (08) :1304-1322

[9]

Choi D., 2004, Proceedings of the third international joint conference on autonomous agents and multiagent systems, V2, P988

[10]

Choi D., 2007, P AAAI 2007 WORKSH E

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