Abstract Architecture for Meta-reasoning in Multi-agent Systems
- Cite this paper as:
- Pěchouček M., Štěpánková O., Mařík V., Bárta J. (2003) Abstract Architecture for Meta-reasoning in Multi-agent Systems. In: Mařík V., Pěchouček M., Müller J. (eds) Multi-Agent Systems and Applications III. CEEMAS 2003. Lecture Notes in Computer Science, vol 2691. Springer, Berlin, Heidelberg
Agent’s meta-reasoning is a computational process that implements agent’s capability to reason on a higher level about another agents or a community of agents. There is a potential for meta-reasoning in multi-agent systems. Meta-reasoning can be used for reconstructing agents’ private knowledge, their mental states and for prediction of their future courses of action. Meta-agents should have the capability to reason about incomplete or imprecise information. Unlike the ordinary agents, the meta-agent may contemplate about the community of agents as a whole and is expected to contribute to agent’s operation efficiency improvement. This contribution suggests a theoretical specification of an abstract reasoning and knowledge representation architecture for the meta-reasoning agents and discusses/categorizes the related computational processes.
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