Evolutionary adaptive behavior in noisy multi-agent system

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Takamasa Iio and Ivan Tanev and Katsunori Shimohara",
  title =        "Evolutionary adaptive behavior in noisy multi-agent
  booktitle =    "SICE Annual Conference",
  year =         "2008",
  month =        "20-22 " # aug,
  address =      "Japan",
  pages =        "1506--1509",
  keywords =     "genetic algorithms, genetic programming, environmental
                 information, evolutionary adaptive behavior,
                 multi-agent system, perceptual noise, multi-agent
  DOI =          "doi:10.1109/SICE.2008.4654898",
  abstract =     "In this paper, we discuss a relationship between
                 perceptual noise and fitness of agents in a multi-agent
                 system. In multi-agent system, agents perceive
                 environmental information and act based on this
                 information. Therefore, in case that the perceptual
                 information contains some noise, a cooperative behavior
                 of agents is more challenging and the resulting fitness
                 of the agents is inferior. In order to develop a
                 behavior of the agents that is robust to the perception
                 noise, we evolved the behavior of the agents in noisy
                 environment. As a result, the evolved behavior,
                 obtained in a noisy environment is superior (in terms
                 of robustness) than that evolved in noiseless
  notes =        "Also known as \cite{4654898}",

Genetic Programming entries for Takamasa Iio Ivan T Tanev Katsunori Shimohara