The University of Southampton
University of Southampton Institutional Repository

Mutualism, Parasitism, and Evolutionary Adaptation

Watson, Richard A., Reil, Torsten and Pollack, Jordan B., Bedau, M., McCaskill, J., Packard, N. and Rasmussen, S.(eds.) (2000) Mutualism, Parasitism, and Evolutionary Adaptation Proceedings of Artificial Life VII (ALife VII), pp. 170-178.

Record type: Article

Abstract

Our investigations concern the role of symbiosis as an enabling mechanism in evolutionary adaptation. Previous work has illustrated how the formation of mutualist groups can guide genetic variation so as to enable the evolution of ultimately independent organisms that would otherwise be unobtainable. The new experiments reported here show that this effect applies not just in genetically related organisms but may also occur from symbiosis between distinct species. In addition, a new detail is revealed: when the symbiotic group members are drawn from two separate species only one of these species achieves eventual independence and the other remains parasitic. It is nonetheless the case that this second species, formerly mutualistic, was critical in enabling the independence of the first. We offer a biological example that is suggestive of the effect and discuss the implications for evolving complex organisms, natural and artificial.

PDF watson_mpea_alife_2000.pdf - Other
Download (174kB)

More information

Published date: 2000
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 262012
URI: http://eprints.soton.ac.uk/id/eprint/262012
PURE UUID: 681f9008-fd80-4b8f-b7a0-34857416e05a

Catalogue record

Date deposited: 21 Feb 2006
Last modified: 18 Jul 2017 08:56

Export record

Contributors

Author: Torsten Reil
Author: Jordan B. Pollack
Editor: M. Bedau
Editor: J. McCaskill
Editor: N. Packard
Editor: S. Rasmussen

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×