Evolved communication strategies and emergent behaviour of multi-agents in pursuit domains

Created by W.Langdon from gp-bibliography.bib Revision:1.3989

@InProceedings{Grossi:2017:CIG,
  author =       "Gina Grossi and Brian J. Ross",
  title =        "Evolved communication strategies and emergent
                 behaviour of multi-agents in pursuit domains",
  booktitle =    "IEEE Conference on Computational Intelligence and
                 Games, CIG 2017",
  year =         "2017",
  pages =        "110--117",
  address =      "New York, NY, USA",
  month =        "22-25 " # aug,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, multi-agent
                 system, pursuit domain, communication, co-operative
                 learning, emergent behaviour, video games.",
  URL =          "http://www.cig2017.com/wp-content/uploads/2017/08/paper_1.pdf",
  DOI =          "doi:10.1109/CIG.2017.8080423",
  size =         "8 pages",
  abstract =     "This study investigates how genetic programs can be
                 effectively used in a multi-agent system to allow
                 agents to learn to communicate. Using the pursuit
                 domain and a co-operative learning strategy,
                 communication protocols are compared as multiple
                 predator agents learn the meaning of commands in order
                 to achieve their common goal of first finding and then
                 tracking prey. The outcome of this study reveals a
                 general synchronization behaviour emerging from simple
                 message passing among agents. An additional outcome
                 shows a learned behaviour in the best result which
                 resembles the behaviour of guards and reinforcements
                 that can be found in popular stealth video games.",
  notes =        "also know as \cite{8080423}",
}

Genetic Programming entries for Gina Grossi Brian J Ross

Citations