Abduction versus closure in causal theories
Artificial Intelligence
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Monitoring deployed agent teams
Proceedings of the fifth international conference on Autonomous agents
Social knowledge in multi-agent systems
Mutli-agents systems and applications
A Knowledge-Based Approach to Coalition Formation
IEEE Intelligent Systems
Maintenance of Discovered Knowledge
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Achieving Efficient Cooperation in a Multi-Agent System: the Twin-Base Modeling
CIA '97 Proceedings of the First International Workshop on Cooperative Information Agents
Reflection and semantics in LISP
POPL '84 Proceedings of the 11th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
Robust agent teams via socially-attentive monitoring
Journal of Artificial Intelligence Research
Applying Multi-Agent System Technique to Production Planning in Order to Automate Decisions
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Meta-reasoning methods for agent's intention modelling
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
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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 ofagen ts. 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.