Algorithms for clustering data
Algorithms for clustering data
Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
Artificial Intelligence
Operational specification of a commitment-based agent communication language
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
An approach to the analysis and design of multiagent systems based on interaction frames
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
A Social Semantics for Agent Communication Languages
Issues in Agent Communication
Interaction is meaning: a new model for communication in open systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Towards interest-based negotiation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Empirical-Rational Semantics of Agent Communication
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Formulating agent communication semantics and pragmatics as behavioral expectations
AC'04 Proceedings of the 2004 international conference on Agent Communication
Acquiring and adapting probabilistic models of agent conversation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns
Agent Communication II
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When designing multiagent systems, one can often avail of an existing specification of communication rules (in the form of protocols, ACL semantics, etc.). The question that then arises naturally is how to design appropriate agents to operate on such a specification. Moreover, if the multiagent system in question exhibits the characteristics of an open system, the problem is complicated even further by the fact that adherence to a supposedly agreed specification cannot be ensured on the side of other agents. This paper presents an architecture for dealing with a generic type of pre-specified communication patterns (containing surface structure and logical constraint specifications) based on an empirical semantics model of communication. By combining existing expectations about the use of communication with empirical observation, this model allows for a flexible adaptation to evolving communication semantics. The architecture itself is based on the InFFrAsocial reasoning framework and the concept of interaction frames. When interpreted according to the empirical semantics approach, interaction frames that represent classes of interaction situations can be used to conduct decision-theoretic reasoning about communication. After introducing the abstract architecture and giving a formal model for its probabilistic semantics, the results of an experimental validation of the approach in a complex domain are presented to illustrate its effectiveness.