On the Baldwin effect

Bull, Larry

Abstract

In this article the effects of altering the rate and amount of learning on the Baldwin effect are examined. Using a version of the abstract tunable NK model, it is shown that the adaptation process is sensitive to the rate of learning, particularly as the correlation of the underlying fitness landscape varies. Typically a high learning rate proves most beneficial as landscape correlation decreases. It is also shown that the amount of learning can have a significant effect on the adaptation process, where increased amounts of learning prove beneficial under higher learning rates on uncorrelated landscapes. © 1999 Massachusetts Institute of Technology.

• Journal Article Type: Article
• Publication Date: Jan 1, 1999
• Journal: Artificial Life
• Print ISSN: 1064-5462
• Electronic ISSN: 1530-9185
• Publisher: Massachusetts Institute of Technology Press (MIT Press)
• Peer Reviewed: Not Peer Reviewed
• Volume: 5
• Issue: 3
• Pages: 241-246
• DOI: https://doi.org/10.1162/106454699568764
• Keywords: epistasis, evolution, landscape correlation, learning, NK model
• Public URL: https://uwe-repository.worktribe.com/output/1097829
• Publisher URL: http://dx.doi.org/10.1162/106454699568764