Intention is choice with commitment
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
Enhancing multi-agent based simulation with human-like decision making strategies
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Learning and decision: making for intention reconciliation
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
A language for modeling agents' decision making processes in games
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Folk Psychology for Human Modelling: Extending the BDI Paradigm
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
RPD-enabled agents teaming with humans for multi-context decision making
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Dynamic intention structures I: a theory of intention representation
Autonomous Agents and Multi-Agent Systems
Bounded practical social reasoning in the ESB framework
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
On time-stressed team collaboration
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
R-CAST: integrating team intelligence for human-centered teamwork
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
A representationalist theory of intention
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Using geometric diffusions for recognition-primed multi-agent decision making
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Jason induction of logical decision trees: a learning library and its application to commitment
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Intentional Learning Procedures as Intention Revision Mechanisms
MICAI '10 Proceedings of the 2010 Ninth Mexican International Conference on Artificial Intelligence
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Multi-agent systems research has been drawing innovative insights from other disciplines such as philosophy and cognitive science. While cognitive studies have shown that over 95% of human decisions conform to the recognition-primed decision making RPD model, there still lacks formal descriptions of RPD from agent perspective. The objective of this study is to establish a formal connection between agent mental attitudes and the meta-cognition concepts as used in RPD. We adopt the intentional attitudes as introduced in the SharedPlans theory to model the RPD process and its cognitive activities. In particular, situation recognition is framed as the formation of potential intentions, mental simulation and expectancy monitoring are modeled as two processes for intention evolution, and recognition diagnosis is linked to the notion of intention reconsideration. Such a mentalistic modeling of recognition suggests that the RPD process offers an ideal framework that can systematically integrate intention formation, intention evaluation, and intention reconsideration---three key activities that BDI agents typically implement. This study also indicates that agent-based modeling is a viable approach for formally studying meta-cognition concepts and team cognition concepts.