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
A Social Semantics for Agent Communication Languages
Issues in Agent Communication
Performatives in a rationally based speech act theory
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Acquiring and adapting probabilistic models of agent conversation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Dynamic semantics for agent communication languages
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns
Agent Communication II
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Electronic Notes in Theoretical Computer Science (ENTCS)
An empirical semantics approach to reasoning about communication
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Agent communication and institutional reality
AC'04 Proceedings of the 2004 international conference on Agent Communication
Formulating agent communication semantics and pragmatics as behavioral expectations
AC'04 Proceedings of the 2004 international conference on Agent Communication
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The missing of an appropriate semantics of agent communication languages is one of the most challenging issues of contemporary AI. Although several approaches to this problem exist, 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 approach 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.