Abstract
A gene expression n-BDD is proposed in order to investigate co-evolutional environment. The gene expression is suitable for agent models to decide agent’s behavior using information from environment. We can apply genetic algorithm to evolve behavior of agents. In a quasi ecosystem, a herbivore, a carnivore and plants make a food chain, which is a typical competitive environment and causes co-evolution. A herbivore using an n-BDD more rapidly acquire its ability to survive from a carnivore than using finite state automaton. Moreover, in the environment which carnivores and herbivores are co-evolved, we have seen a food chain relation in an experimental field.
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© 1998 Springer-Verlag London
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Moriwaki, K., Inuzuka, N., Yamada, M., Seki, H., Itoh, H. (1998). A Genetic Method for Evolutionary Agents in a Competitive Environment. In: Chawdhry, P.K., Roy, R., Pant, R.K. (eds) Soft Computing in Engineering Design and Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-0427-8_17
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DOI: https://doi.org/10.1007/978-1-4471-0427-8_17
Publisher Name: Springer, London
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