Evolutionary adaptive behavior in noisy multi-agent system

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Iio:2008:SICE,

• author = "Takamasa Iio and Ivan Tanev and Katsunori Shimohara",
• title = "Evolutionary adaptive behavior in noisy multi-agent system",
• 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 systems",
• 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 environment.",
• notes = "Also known as \cite{4654898}",

}

Genetic Programming entries for Takamasa Iio Ivan T Tanev Katsunori Shimohara

Citations