Abstract
In this paper we describe a model of a multi-agent simulator that can be used to approximate social economic systems. A characteristic of this paper is that each agent, in our simulator, has both inherited and posteriori characteristics. Figuratively speaking, the former characteristics are never changed by an agent’s own will. For example, the sexual gender, ethnicity, and pre-determined natural life span are considered inherited characteristics that are shaped by the biological evolutionary process. The posteriori characteristics on the other hand are shaped by experience, knowledge or culture. We propose that an agent can grow and learn due to interaction among other agents in this model. Posteriori characteristics can take the form of knowledge and are passed to the next generation of agents. Those characters make agents adjust the environment. We therefore propose a model focusing on simulating both, the genetic function and agent environmental adaptation ability.
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© 2004 Springer-Verlag Berlin Heidelberg
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Hirayama, K. (2004). Toward the Development of an Auto-poietic Multi-agent Simulator. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_162
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DOI: https://doi.org/10.1007/978-3-540-30133-2_162
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23206-3
Online ISBN: 978-3-540-30133-2
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