The power of amnesia: learning probabilistic automata with variable memory length
Machine Learning - Special issue on COLT '94
Denotational semantics for agent communication language
Proceedings of the fifth international conference on Autonomous agents
Multiagent Systems: A Theoretical Framework for Intentions, Know-how, and Communications
Multiagent Systems: A Theoretical Framework for Intentions, Know-how, and Communications
An analysis of agent speech acts as institutional actions
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
A Social Semantics for Agent Communication Languages
Issues in Agent Communication
Expectation-Oriented Analysis and Design
AOSE '01 Revised Papers and Invited Contributions from the Second International Workshop on Agent-Oriented Software Engineering II
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
Performatives in a rationally based speech act theory
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Empirical-Rational Semantics of Agent Communication
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Ontological Feedback in Multiagent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Conversational semantics with social commitments
AC'04 Proceedings of the 2004 international conference on Agent Communication
ACL Semantics Between Social Commitments and Mental Attitudes
Agent Communication II
An empirical semantics approach to reasoning about communication
Engineering Applications of Artificial Intelligence
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Although several approaches to the semantics of agent communication have been proposed, none of them is really suitable for dealing with agent autonomy, which is a decisive property of artificial agents. This paper introduces an observation-based approach to the semantics of agent communication, which combines benefits of the two most influential traditional approaches to agent communication semantics, namely the mentalistic (agent-centric) and the objectivist (i.e., commitment- or protocol-oriented) approach. Our model makes use of the fact that the most general meaning of agent utterances lays in their expectable consequences in terms of agent actions, and that communications result from hidden but nevertheless rational and to some extent reliable agent intentions. In this work, we present a formal framework which enables the empirical derivation of communication meanings from the observation of rational agent utterances, and introduce thereby a probabilistic and utility-oriented perspective of social commitments.