This paper tries to analyze the positive effect of the emergent structures in the objects' aggregation task which is performed by a cognitive multi-agent system CMAS. Indeed, these structures allow improving overall performance of the system by the optimization of the planning time and satisfaction level of the cognitive agents. A series of simulations enables us to discuss our system.

Effect of the Emergent Structures in the Improvement of the Performance of the Cognitive Agents

This paper aims to shed light on the benefits of the cognitive processes in the generation of emergent structures that allow the cognitive robots to succeed the objects’ aggregation task. In the multi-robot system, every robot uses local rules and an on-line building and learning of its own cognitive map. This fusion alters the positive impact of the individual behavior in the improvement of the overall system performance. A series of simulations and experiments allowed us to present and discuss the system.

Mohamed Bouzid

Papers

Coupling Learning Capability and Local Rules for the Improvement of the Objects’ Aggregation Task by a Cognitive Multi-Robot System