Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Knowledge and common knowledge in a distributed environment
Journal of the ACM (JACM)
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
A knowledge-based framework for belief change part I: foundations
TARK '94 Proceedings of the 5th conference on Theoretical aspects of reasoning about knowledge
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Adaptive provision of evaluation-oriented information: tasks and techniques
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A graph-theoretic analysis of information value
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Implementation and evaluation of rational communicative behavior in coordinated defense
Proceedings of the third annual conference on Autonomous Agents
Negotiation as a mechanism for language evolution
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Predictive Statistical Models for User Modeling
User Modeling and User-Adapted Interaction
Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
Rational Coordination in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
Multi-Agent Multi-User Modeling in I-Help
User Modeling and User-Adapted Interaction
Annals of Mathematics and Artificial Intelligence
Learning and Exploiting Relative Weaknesses of Opponent Agents
Autonomous Agents and Multi-Agent Systems
User Modeling and User-Adapted Interaction
Towards flexible multi-agent decision-making under time pressure
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Identifying the scope of modeling for time-critical multiagent decision-making
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Comparison of tightly and loosely coupled decision paradigms in multiagent expedition
International Journal of Approximate Reasoning
Model identification in interactive influence diagrams using mutual information
Web Intelligence and Agent Systems
Multiagent bayesian forecasting of structural time-invariant dynamic systems with graphical models
International Journal of Approximate Reasoning
Opponent modeling in a PGM framework
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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We present a framework for Bayesian updating of beliefs about modelsof agent(s) based on their observed behavior. We work within theformalism of the Recursive Modeling Method (RMM) that maintains andprocesses models an agent may use to interact with other agent(s), themodels the agent may think the other agent has of the original agent,the models the other agent may think the agent has, and so on. Thebeliefs about which model is the correct one are incrementally updatedbased on the observed behavior of the modeled agent and, as theresult, the probability of the model that best predicted the observedbehavior is increased. Analogously, the models on deeper levels ofmodeling can be updated; the models that the agent thinks anotheragent uses to model the original agent are revised based on how theother agent is expected to observe the original agent‘s behavior, andso on. We have implemented and tested our method in two domains, andthe results show a marked improvement in the quality of interactionswith the belief update in both domains.