Copycat (software)

Copycat is a model of analogy making and human cognition based on the concept of the parallel terraced scan, developed by Douglas Hofstadter, Melanie Mitchell, and others at the at Center for Research on Concepts and Cognition, Indiana University at Bloomington.

Description

Copycat produces answers to such problems as "abc is to abd as xyz is to what?" (abc::abd, iijjkk::?). Hofstadter and Mitchell consider analogy making as the core of high-level cognition, or high-level perception, what Hofstadter calls it, basic to recognition and categorization. high-level perception emerges from the spreading activity of many independent processes, called codelets, running in parallel, competing or cooperating. They create and destroy temporary perceptual constructs, probabilistically trying out variations to eventually produce an answer. The codelets rely on an associative network, slipnet, built on pre-programmed concepts and their associations (a long-term memory). The changing activation levels of the concepts make a conceptual overlap with neighboring concepts.

Copycat's architecture is tripartite, consisting slipnet, a working area (also called working memory), and the coderack (with the codelets). The slipnet, is a network comprised of nodes, which represent permanent concepts, and links, relations, between them. The codelets increase activations in the slipnet, and build structures, based on the associations there, in the working area.

Comparison to other cognitive architectures

Copycat differs considerably in many respects from other cognitive architectures such as ACT-R, SOAR, DUAL, Psi, or subsumption architectures.

Copycat is Hofstadter's most popular model. Other models presented by Hofstadter et al. before Copycat were similar in architecture, but different in the so-called micro-domain, their application, e.g. Letter-spirit, etc.

References

• . ISBN 0465024750 (paperback), ISBN 0465051545 (hardback). {{cite book}}: Missing or empty |title= (help); Unknown parameter |Authorlink= ignored (|authorlink= suggested) (help); Unknown parameter |First= ignored (|first= suggested) (help); Unknown parameter |Last= ignored (|last= suggested) (help); Unknown parameter |Title= ignored (|title= suggested) (help)

External links

• a short description of Copycat
• Beyond Copycat: Incorporating Self-Watching into a Computer Model (pdf)
• How to get the source code