Genetic Algorithms and Artificial Life

Melanie Mitchell and Stephanie Forrest

Working Papers from Santa Fe Institute

Abstract: Genetic algorithms are computational models of evolution that play a central role in many artificial life models. We review the history and current scope of research on genetic algorithms in artificial life, using illustrative examples in which the genetic algorithms is used to study how learning and evolution interact, and to model ecosystems, immune system, cognitive systems, and social systems. We also ouline a number of open questions and future directions for genetic algorithms in artificial life research.

Date: 1993-11
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wop:safiwp:93-11-072

Access Statistics for this paper

More papers in Working Papers from Santa Fe Institute Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Krichel ().