Agents that learn to explain themselves
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
It knows what you're going to do: adding anticipation to a Quakebot
Proceedings of the fifth international conference on Autonomous agents
Theory of Mind for a Humanoid Robot
Autonomous Robots
Structuring BDI Agents in Functional Clusters
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
Groups as Agents with Mental Attitudes
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
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)
Information needs in agent teamwork
Web Intelligence and Agent Systems
2APL: a practical agent programming language
Autonomous Agents and Multi-Agent Systems
Tracking reliability and helpfulness in agent interactions
Web Intelligence and Agent Systems
Controlling non-normative behaviors by anticipation for autonomous agents
Web Intelligence and Agent Systems
If I were you: double appraisal in affective agents
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
An explainable artificial intelligence system for small-unit tactical behavior
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Intelligent Agents for Training On-Board Fire Fighting
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
PsychSim: modeling theory of mind with decision-theoretic agents
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Emotions to control agent deliberation
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Design and Evaluation of Explainable BDI Agents
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
A RECURSIVE BDI AGENT MODEL FOR THEORY OF MIND AND ITS APPLICATIONS
Applied Artificial Intelligence
A methodology for developing self-explaining agents for virtual training
LADS'09 Proceedings of the Second international conference on Languages, Methodologies, and Development Tools for Multi-Agent Systems
Extending the capability concept for flexible BDI agent modularization
ProMAS'05 Proceedings of the Third international conference on Programming Multi-Agent Systems
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Virtual training systems with intelligent agents provide an effective means to train people for complex, dynamic tasks like crisis management or firefighting. For successful training, intelligent virtual agents should be able to show believable behavior, adapt their behavior to the trainee's performance and give useful explanations about their behavior. Agents can provide more believable behavior and explanations if they, besides their own, take the assumed knowledge and intentions of other players in the scenario into account. This paper proposes two ways to model agents with a theory of mind, i.e. equip them with the ability to ascribe mental concepts such as knowledge and intentions to others. The first theory of mind model is based on theory--theory TT and the second on simulation theory ST. In a simulation study, agents with no theory of mind, a TT-based theory of mind, and an ST-based theory of mind are compared. The results show that agents with a theory of mind are preferred over agents with no theory of mind, and that, regarding agent development, the ST model has advantages over the TT model.