Protocol Description and Platform in Massively Multiagent Simulation

Yuu Nakajima, Hironori Shiina, Shohei Yamane, Hirofumi Yamaki, Toru Ishida · 2006

The spread of the ubiquitous computing environment enables the realization of social systems with large scale. Multiagent simulations are applied to test such large systems that inevitably include humans as its parts. To develop such simulation systems for large-scale social systems, it is necessary for experts of application domains and of computation systems to cooperate with each other. In such simulations, there are variety of situations that each agent faces. Also, the scalability is one of the primary requisites to reproduce phenomena in a city where hundreds of thousands of people live. As a solution to these problems, we introduce an architecture for multiagent simulation platforms where the execution of simulation scenario and the implementation of agents are explicitly separated. This paper also gives the evaluation through the implementation.

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