Parallel terraced scan

This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. Find sources: "Parallel terraced scan" – news · newspapers · books · scholar · JSTOR (April 2021) (Learn how and when to remove this message)

The parallel terraced scan is a multi-agent based search technique that is basic to cognitive architectures, such as Copycat, Letter-string, the Examiner, Tabletop, and others. It was developed by John Rehling and Douglas Hofstadter at the Center for Research on Concepts and Cognition at Indiana University, Bloomington.

The parallel terraced scan builds on the concepts of the workspace, coderack, conceptual memory, and temperature. According to Hofstadter the parallel and random nature of the processing captures aspects of human cognition.

• Copycat

• The Parallel Terraced Scan: An Optimization For An Agent-Oriented Architecture (pdf)

This artificial intelligence-related article is a stub. You can help Wikipedia by expanding it.

• v
• t
• e