The Evolution of the Soar Cognitive Architecture

The Evolution of the Soar Cognitive Architecture (1994)

by John E. Laird , Paul S. Rosenbloom

Venue:	In
Citations:	36 - 3 self

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Datum	Value	Source
TITLE	The Evolution of the Soar Cognitive Architecture	user correction - Legacy Corrections
AUTHOR NAME	John E. Laird	SVM HeaderParse 0.1
AUTHOR AFFIL	Artificial Intelligence Laboratory; University of Michigan	SVM HeaderParse 0.2
AUTHOR ADDR	1101 Beal Ave.; Ann Arbor, MI 48109-2110	SVM HeaderParse 0.1
AUTHOR NAME	Paul S. Rosenbloom	SVM HeaderParse 0.1
AUTHOR AFFIL	; Information Sciences Institute &; Computer Science Department; University of Southern California; Department of Carnegie Mellon University (CMU) in Pittsburgh. We were both interested in	SVM HeaderParse 0.2
ABSTRACT	The origins of the Soar architecture can be traced back to the seminal research of Allen Newell and Herbert Simon on symbol systems, heuristic search, goals, problem spaces, and production systems. Since its official inception in 1982, Soar has evolved through six major releases, as both an AI architecture and as the basis for a unified theory of cognition. This paper traces this evolutionary path, starting with Soar's intellectual roots, and then proceeding through the stages defined by the six major system releases. Each stage is characterized with respect to a hierarchy of four levels of analysis: the knowledge level, the problem space level, the symbolic architecture level, and the implementation level.	SVM HeaderParse 0.1
YEAR	1994	user correction - Legacy Corrections
VENUE	In	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	1--50	INFERENCE
CITATIONS	104 found	ParsCit 1.0