Agents that learn to explain themselves
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Structuring BDI Agents in Functional Clusters
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
2APL: a practical agent programming language
Autonomous Agents and Multi-Agent Systems
A methodology for developing self-explaining agents for virtual training
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
An explainable artificial intelligence system for small-unit tactical behavior
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
PsychSim: modeling theory of mind with decision-theoretic agents
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Extending the capability concept for flexible BDI agent modularization
ProMAS'05 Proceedings of the Third international conference on Programming Multi-Agent Systems
Evaluation of virtual agents utilizing theory of mind in a real time action game
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Action selection using theory of mind: a case study in the domain of fighter pilot training
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Lie to me: virtual agents that lie
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Training systems with intelligent virtual agents provide an effective means to train people for complex, dynamic tasks like crisis management or firefighting. Virtual agents provide more adequate behavior and explanations if they not only take their own goals and beliefs into account, but also the assumed knowledge and intentions of other players in the scenario. This paper describes a study to how agents can be equipped with a theory of mind, i.e. the capability to ascribe mental concepts to others. Based on existing theory of mind theories, a theory-theory (TT) and a simulation-theory (ST) approach for modeling agents with a theory of mind models are proposed. Both approaches have been implemented in a case study, and results show that the ST approach is preferred over the TT approach.