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
Analyzing the Relationship between Complexity of Road Networks and Mobile Agents' Simulation
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Hi-index | 0.00 |
In this paper, we analyze the relationship between map features, including road networks and building information, and the evaluation of multi-agent simulations. In our previous paper, we have defined a movement difficulty for maps that use complexity indexes and have showed that the indexes form a relationship between the results of the multi-agent simulations and road maps[1,2]. In this paper, we define new indexes by considering the building information. We also perform an evaluation experiment to confirm the relationship between the indexes and the results of RoboCup Rescue simulations. The results show that the indexes contribute to the absolute evaluation of agents' cooperative algorithm by considering their environmental dependency. This study in researching agents is absolutely imperative to encourage the development of robotomorphic cooperative agents which act on many kinds of environments.