Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/93220
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Type: Conference paper
Title: Multi-agent coordination through mutualistic interactions
Author: Lurgi, M.
Robertson, D.
Citation: Revised selected papers, as published in Lecture Notes in Computer Science, 2012 / Cranefield, S., van Riemsdijk, M., Vázquez-Salceda, J., Noriega, P. (ed./s), vol.7254, pp.1-20
Publisher: Springer Verlag
Issue Date: 2012
Series/Report no.: Lecture Notes in Computer Science
ISBN: 9783642355448
ISSN: 0302-9743
1611-3349
Conference Name: COIN 2011 International Workshops (03 May 2011 - 03 May 2011 : Taipei, Taiwan)
Statement of
Responsibility: 
Miguel Lurgi and David Robertson
Abstract: In this paper we present an ecologically-inspired approach to agent coordination. Mutualistic networks of interacting species in nature possess characteristics that provide the systems they represent with features of stability, minimised competition, and increased biodiversity. We take inspiration from some of the ecological mechanisms that operate at the interaction level in mutualistic interactions, and which are believed to be responsible for the emergence of these system level patterns, in order to promote this structural organisation in networks of interacting agents, enhancing in this way their cooperative abilities. We demonstrate that given plausible starting conditions, we can expect mutualistic features to appear in self-organising agent systems, and we compare them with natural ones to show how the characteristics displayed by ecologically inspired networks of agents are similar to those found in natural communities. We argue that the presence of these patterns in agent interaction networks confer these systems with properties similar to those found in mutualistic communities found in the real world.
Keywords: agents coordination; ecologically-inspired interactions; complex systems; mutualism; emergent behaviour; cooperation
Rights: ©Springer-Verlag Berlin Heidelberg 2012
RMID: 0030019706
DOI: 10.1007/978-3-642-35545-5_1
Published version: https://doi.org/10.1007/978-3-642-35545-5
Appears in Collections:Ecology, Evolution and Landscape Science publications

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