Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Measuring Complexity of Multi-agent Simulations --- An Attempt Using Metrics
Languages, Methodologies and Development Tools for Multi-Agent Systems
Evaluation of Multi-Agent System Communication in INGENIAS
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Performance evaluation of multiagent systems: communication criterion
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Evaluation of multi-agent systems: proposal and validation of a metric plan
Transactions on Computational Collective Intelligence VII
| Hi-index | 0.00 |
The growing employment of Multi-Agent Systems (MASs) in several domains of everyday life has provided the impetus for much research into new tools and methodologies for their design and implementation. But up to now, few works have focused on evaluation of these MASs, and none of these considered characteristics such as the rationality, the autonomy, the reactivity and the environment adaptability of the agents in the MAS. We believe these characteristics affect the whole performance of these systems and are connected to the complexity of the environment where the agents act. In this paper we propose an evaluation method for static multi-agent systems. The method, based on the Goal-Question-Metric approach, allows evaluation of these same MAS characteristics and combines two analysis perspectives of these systems: intra-agent and inter-agent. We also report the use of the defined approach to evaluate the GeCo_Automotive system's MAS.