Cognitive architectures and general intelligent systems

Authors:
Pat Langley
Affiliations:
-
Venue:
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
Year:
2006

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Abstract

In this article, I claim that research on cognitive architectures is an important path to the development of general intelligent systems. I contrast this paradigm with other approaches to constructing such systems, and I review the theoretical commitments associated with a cognitive architecture. I illustrate these ideas using a particular architecture--ICARUS---by examining its claims about memories, about the representation and organization of knowledge, and about the performance and learning mechanisms that affect memory structures. I also consider the high-level programming language that embodies these commitments, drawing examples from the domain of in-city driving. In closing, I consider ICARUS'S relation to other cognitive architectures and discuss some open issues that deserve increased attention.