Abstract
Recently in the fields of artificial life and robotics, several researchers have attempted to let the populations of artificial organisms or real robots synthesize some intra- or inter-species cooperative relationships. Here taking the symbiont-finding problem as such a problem domain, we show how multiple populations of Q-learning artificial organisms synthesize symbiotic behavior needed to achieve their goals effectively. Optimality of thus synthesized behavior and its organization processes are also analyzed.
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© 1995 Springer-Verlag Berlin Heidelberg
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Ono, N., Ohira, T., Rahmani, A.T. (1995). Emergent organization of interspecies communication in Q-learning artificial organisms. In: Morán, F., Moreno, A., Merelo, J.J., Chacón, P. (eds) Advances in Artificial Life. ECAL 1995. Lecture Notes in Computer Science, vol 929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59496-5_314
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DOI: https://doi.org/10.1007/3-540-59496-5_314
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