Abstract
Agent-based simulation [1] is a powerful and natural way to carry out complex simulation experiments, in which many autonomous and interacting entities take part. The key abstraction in this methodology is the autonomous agent, which interacts with other agents via discrete events.
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References
Wooldridge, M. 1999. “Intelligent Agents”. In “Multiagent Systems. A modern approach to Distributed Artificial Intelligence” (Weiss ed.). pp. 27–77, The MIT Press.
Alfonseca, M., de Lara, J., Pulido, E. “Semiautomatic Generation of Web Courses by Means of an Object-Oriented Simulation Language”, special issue of “SIMULATION”, Web-Based Simulation, Vol 73, num.1, July 1999, pp. 5–12.
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de Lara, J., Alfonseca, M. (2001). Agent Oriented Simulation with OOCSMP. An Example in Evolutionary Ant Colonies. In: de Antonio, A., Aylett, R., Ballin, D. (eds) Intelligent Virtual Agents. IVA 2001. Lecture Notes in Computer Science(), vol 2190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44812-8_19
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DOI: https://doi.org/10.1007/3-540-44812-8_19
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