Coordination in Introspective Multi-Agent Systems

This paper proposes a multi-agent system architecture based on introspective agents provided with an expressive communication language and reasoning capabilities on their skills. The agents´ introspective capabilities make it possible to agents to autonomously decompose a task according to their competencies. Using a protocol, the agents can then coordinate with other agents to as to collectively and dynamically cover the performance of a complex task with interrelationships and dependence among its actions. We describe in this paper the introspective agents´ structure and the coordination protocol that supports the distributed and decentralized task achievement.