General patterns in nonmonotonic reasoning
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
An analysis of formal inter-agent dialogues
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
On Dialogue Systems with Speech Acts, Arguments, and Counterarguments
JELIA '00 Proceedings of the European Workshop on Logics in Artificial Intelligence
Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
Towards a formal framework for the search of a consensus between autonomous agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Coherence and Flexibility in Dialogue Games for Argumentation
Journal of Logic and Computation
A unified and general framework for argumentation-based negotiation
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
On the relevance of utterances in formal inter-agent dialogues
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A generative inquiry dialogue system
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Measures for persuasion dialogs: A preliminary investigation
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
A half-way semantics toward collaborative behavior in interagent dialogues
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Dynamic argumentation in abstract dialogue frameworks
ArgMAS'10 Proceedings of the 7th international conference on Argumentation in Multi-Agent Systems
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A fundamental requirement of collaborative dialogue formal systems is ensuring both that all the relevant information will be exposed and also irrelevancies will be avoided. The challenge is to fulfill this requirement in the context of a distributed MAS where each agent is unaware of the private knowledge of the others. We argue that it is possible to give a general treatment to this problem in terms of relevance notions, and propose a partial solution which reduces the problem to that of finding adequate potential relevance notions. Specifically, we present in this work an Abstract Dialogue Framework which provides an environment for studying the behavior of collaborative dialogue systems in terms of abstract relevance notions, together with three Collaborative Semantics each of which defines a different collaborative behavior of the dialogues under the framework. One of these semantics describes an utopian, non practical, behavior which is approximated in different ways by the other two constructive semantics. Complete examples are provided in Propositional Logic Programming.