Coevolving communication and cooperation for lattice formation tasks

Jekanthan Thangavelautham, Timothy D. Barfoot, Gabriele M.T. D'Eleuterio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations


Reactive multiagent systems are shown to coevolve with explicit communication and cooperative behavior to solve lattice formation tasks. Comparable agents that lack the ability to communicate and cooperate are shown to be unsuccessful in solving the same tasks. The agents without any centralized supervision develop a communication protocol with a mutually agreed upon signaling scheme to share sensor data between a pair of individuals. The control system for these agents consists of identical cellular automata handling communication, cooperation and motion subsystems. Shannon's entropy function was used as a fitness evaluator to evolve the desired cellular automata. The results are derived from computer simulations.

Original languageEnglish (US)
Title of host publicationAdvances in Artificial Life
EditorsWolfgang Banzhaf, Jens Ziegler, Thomas Christaller, Peter Dittrich, Jan T. Kim
Number of pages8
ISBN (Print)3540200576, 9783540200574
StatePublished - 2003
Externally publishedYes
Event7th European Conference on Artificial Life, ECAL 2003 - Dortmund, Germany
Duration: Sep 14 2003Sep 17 2003

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
ISSN (Print)0302-9743


Conference7th European Conference on Artificial Life, ECAL 2003

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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