Multiagent teamwork: analyzing the optimality and complexity of key theories and models
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Analyzing map features and building information for disaster response using agent-based simulations
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
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This paper analyzed the relationship between the evaluation of multi-agent systems and the agents' environments. We define a movement difficulty for maps, using complexity indexes[1] and a vehicle movement simulator. In addition, we report on experiments carried out to confirm whether the movement difficulty can be used to estimate the results of the evaluation of agents. Finally, we investigate the similarity between the results of the simulations and the analysis.