Algorithms for clustering data
Algorithms for clustering data
A polynomial time computable metric between point sets
Acta Informatica
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
Distance Induction in First Order Logic
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
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
Empirical-Rational Semantics of Agent Communication
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Hierarchical Reinforcement Learning in Communication-Mediated Multiagent Coordination
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Agents And Computational Autonomy: Potential, Risks, And Solutions (Lecture Notes in Computer Science)
An empirical semantics approach to reasoning about communication
Engineering Applications of Artificial Intelligence
An integrated framework for adaptive reasoning about conversation patterns
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
Practical strategic reasoning and adaptation in rational argument-based negotiation
ArgMAS'05 Proceedings of the Second international conference on Argumentation in Multi-Agent Systems
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Communication in multiagent systems (MASs) is usually governed by agent communication languages (ACLs) and communication protocols carrying a clear cut semantics. With an increasing degree of openness, however, the need arises for more flexible models of communication that can handle the uncertainty associated with the fact that adherence to a supposedly agreed specification of possible conversations cannot be ensured on the side of other agents.As one example for such a model, interaction frames follow an empirical semantics view of communication, where meaning is defined in terms of expected consequences, and allow for a combination of existing expectations with empirical observation of how communication is used in practice.In this paper, we use methods from the fields of case-based reasoning, inductive logic programming and cluster analysis to devise a formal scheme for the acquisition and adaptation of interaction frames from actual conversations, enabling agents to autonomously (i.e. independent of users and system designers) create and maintain a concise model of the different classes of conversation in a MAS on the basis of an initial set of ACL and protocol specifications. This resembles the first rigorous attempt to solve this problem that is decisive for building truly autonomous agents.