Cognitive Architectures and General Intelligent Systems

  • Pat Langley

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.
Published
2006-06-15
How to Cite
Langley, P. (2006). Cognitive Architectures and General Intelligent Systems. AI Magazine, 27(2), 33. https://doi.org/10.1609/aimag.v27i2.1878
Section
Articles