Implications of the Ability to Learn Simple Actions on the Efficiency of Evolution of Social Behavior of Agents

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@InProceedings{tanev:2004:arob1,

• author = "Ivan Tanev and Katsunori Shimohara",
• title = "Implications of the Ability to Learn Simple Actions on the Efficiency of Evolution of Social Behavior of Agents",
• booktitle = "Proceedings of the 9th International Symposium on Artificial Life and Robotics (AROB-04)",
• year = "2004",
• editor = "Masanori Sugisaka and Hiroshi Tanaka",
• volume = "1",
• pages = "53--56",
• email = "i.tanev@computer.org",
• keywords = "genetic algorithms, genetic programming",
• abstract = "We investigate the effect of ability to learn simple actions on the performance characteristics of evolution of social behaviour of agents situated in inherently cooperative environment. Using continuous predators-prey pursuit problem we verified that relatively complex social behavior emerges from simple, implicit, locally defined, and thus robust and scalable interactions between the predator agents. Considering a distinct aspect of the phenomenon of emergence, we hypothesise that the ability of agents to learn how to perform simple, atomic acts of implicit interaction might facilitate the evolution of more complex behaviour. The empirical results indicate that incorporation of the proposed approach of learning in genetic programming (employed as an algorithmic paradigm to evolve the social behaviour of the agents) is associated with about two-fold decrease of computational effort of the evolution.",
• notes = "See \cite{tanev:2005:ALR1}",

}

Genetic Programming entries for Ivan T Tanev Katsunori Shimohara

Citations