Abstract architecture for meta-reasoning in multi-agent systems

Abstract

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.