Evolution of Mutating Software

Chaitin, G.J

dc.contributor.author	Chaitin, G.J	en
dc.date.accessioned	2009-04-16T23:12:35Z	en
dc.date.available	2009-04-16T23:12:35Z	en
dc.date.issued	2008-10	en
dc.identifier.citation	CDMTCS Research Reports CDMTCS-337 (2008)	en
dc.identifier.issn	1178-3540	en
dc.identifier.uri	http://hdl.handle.net/2292/3844	en
dc.description.abstract	We propose using random walks in software space as abstract formal models of biological evolution. The goal is to shed light on biological creativity using toy models of evolution that are simple enough to prove theorems about them. We consider two models: a single mutating piece of software, and a population of mutating software. The fitness function is taken from a well-known problem in computability theory that requires an unlimited amount of creativity, the Busy Beaver problem.	en
dc.publisher	Department of Computer Science, The University of Auckland, New Zealand	en
dc.relation.ispartofseries	CDMTCS Research Report Series	en
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm	en
dc.source.uri	http://www.cs.auckland.ac.nz/staff-cgi-bin/mjd/secondcgi.pl?serial	en
dc.title	Evolution of Mutating Software	en
dc.type	Technical Report	en
dc.subject.marsden	Fields of Research::280000 Information, Computing and Communication Sciences	en
dc.rights.holder	The author(s)	en
dc.rights.accessrights	http://purl.org/eprint/accessRights/OpenAccess	en