ABSTRACT
Dialogue protocols have been the subject of considerable attention with respect to their potential applications in multiagent system environments. Formalisations of such protocols define classes of dialogue locutions, concepts of a dialogue state, and rules under which a dialogue proceeds. One important consideration in implementing a protocol concerns the criteria an agent should apply in choosing which utterance will constitute its next contribution to a discussion in progress: ideally, an agent should select a locution that (by some measure) "optimises" the outcome. The precise interpretation of 'optimise' is, however, something that may vary greatly depending on the nature and intent of a dialogue area. If we consider 'persuasion' protocols, where one agent's intention is to convince others of the validity or invalidity of a specific proposition, then optimality might be regarded in the sense of "choice of locution that results in a 'minimal length' debate": thus the agent defending a hypothesis tries to select utterances that will convince other participants of the validity of this hypothesis after 'as few locutions as possible'. We present a formal setting for considering the problem of deciding if a particular utterance in the context of a persuasion dialogue is optimal in this sense. We show that, in general, this decision problem is both NP--hard and CO-NP--hard.
- T. J. M. Bench-Capon. Specification and implementation of Toulmin dialogue game. In J. C. Hage et al., editor, Legal Knowledge Based Systems, pages 5--20. GNI, 1998.]]Google Scholar
- T. J. M. Bench-Capon, P. E. Dunne, and P. H. Leng. A dialogue game for dialectical interaction with expert systems. In Proc. 12th Annual Conf. Expert Systems and their Applications, pages 105--113, 1992.]]Google Scholar
- C. Cayrol, S. Doutre, and J. Mengin. Dialectical proof theories for the credulous preferred semantics of argumentation frameworks. In Sixth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU-2001), pages 668--679. Lecture Notes in A.I., 2143, Springer, 2001.]] Google ScholarDigital Library
- V. Conitzer and T. Sandholm. Complexity results about Nash equilibria. Technical Report CMU-CS-02-135, School of Computer Science, Carnegie-Mellon University, May 2002.]]Google Scholar
- M. Davis, G. Logemann, and D. Loveland. A machine program for theorem proving. Communications of the ACM, 5:394--397, 1962.]] Google ScholarDigital Library
- M. Davis and H. Putnam. A computing procedure for quantification theory. Journal of the ACM, 7:201--215, 1960.]] Google ScholarDigital Library
- F Dignum and M. Greaves (editors). Issues in Agent Communication. Springer-Verlag, 2000.]] Google ScholarDigital Library
- S. Doutre and J. Mengin. Preferred extensions of argumentation frameworks: Query answering and computation. In First Intern. Joint Conf. Automated Reasoning (IJCAR 2001), pages 272--288. Lecture Notes in A.I., 2083, Springer, June 2001.]] Google ScholarDigital Library
- P. E. Dunne. Computability Theory - Concepts and Applications. Ellis-Horwood, 1991.]]Google Scholar
- P. E. Dunne. Prevarication in dispute protocols. Technical Report ULCS-02-025, Dept. of Comp. Sci., Univ. of Liverpool, 2002.]]Google Scholar
- P. E. Dunne and T. J. M. Bench-Capon. Two party immediate response disputes: Properties and efficiency. Technical Report ULCS-01-005, Dept. of Comp. Sci., Univ. of Liverpool, (to appear Artificial Intelligence)]]Google Scholar
- J. Glazer and A. Rubinstein. Debates and decisions: on a rationale of argumentation rules. Games and Economic Behavior, 36(2):158--173, 2001.]]Google ScholarCross Ref
- T. F. Gordon. The Pleadings Game: An Artificial Intelligence Model of Procedural Justice. Kluwer Academic, Dordrecht, 1995.]] Google ScholarDigital Library
- S. Kraus. Strategic negotiation in multiagent environments. MIT Press, 2001.]] Google ScholarDigital Library
- P. Liberatore. On the complexity of choosing the branching literal in DPLL. Artificial Intelligence, 116:315--326, 2000.]] Google ScholarDigital Library
- A. R. Lodder. Dialaw: On legal justification and Dialogue Games. PhD thesis, Univ.of Maastricht, 1998.]]Google Scholar
- P. McBurney, R. van Eijk, S. Parsons, and L. Amgoud. A dialogue-game protocol for agent purchase negotiations. J. Autonomous Agents and Multiagent Systems, in press.]] Google ScholarDigital Library
- P. McBurney and S. Parsons. Representing epistemic uncertainty by means of dialectical argumentation. Annals of Mathematics and AI, 32(1--4):125--169, 2001.]] Google ScholarDigital Library
- P. McBurney and S. Parsons. Games that agents play: A formal framework for dialogues between autonomous agents. J. Logic, Language and Information, 11:315--334, 2002.]] Google ScholarDigital Library
- P. McBurney and S. Parsons. Chance Discovery using dialectical argumentation. In T. Terano et al., editors, New Frontiers in Artificial Intelligence, pages 414--424. Lecture Notes in A.I., 2253, Springer, 2001.]] Google ScholarDigital Library
- P. McBurney, S. Parsons, and M. W. Johnson. When are two protocols the same? In M. P. Huget, F. Dignum and J. L. Koning, editors, Agent Communications Languages and Conversation Policies, Proc. AAMAS-02 Workshop, Bologna, Italy, 2002.]]Google Scholar
- P. McBurney, S. Parsons, and M. J. Wooldridge. Desiderata for agent argumentation protocols. In Proc. First Intern. Joint Conf. on Autonomous Agents and Multiagent Systems, pages 402--409. ACM Press, 2002.]] Google ScholarDigital Library
- S. Parsons, C. A. Sierra, and N. R. Jennings. Agents that reason and negotiate by arguing. J. Logic and Computation, 8(3):261--292, 1998.]]Google ScholarCross Ref
- S. Parsons, M. J. Wooldridge, and L. Amgoud. An analysis of formal inter-agent dialgoues. In Proc. First Intern. Joint Conf. Autonomous Agents and Multiagent Systems, pages 394--401. ACM Press, 2002.]] Google ScholarDigital Library
- H. Prakken. Logical Tools for Modelling Legal Argument. Kluwer Academic, Dordrecht, 1997.]]Google Scholar
- C. Reed. Dialogue frames in agent communications. In Y. Demazeau, editor, Proc. 3rd Intern. Conf. Multiagent Systems (ICMAS-98), pages 246--253. IEEE Press, 1998.]] Google ScholarDigital Library
- G. Vreeswijk and H. Prakken. Credulous and sceptical argument games for preferred semantics. In Proc. JELIA'2000, The 7th European Workshop on Logic for Artificial Intelligence., pages 224--238, Berlin, 2000. Lecture Notes in A.I., 1919, Springer.]] Google ScholarDigital Library
- D. N. Walton and E. C. W. Krabbe. Committment in Dialogue: Basic Concepts of Interpersonal Reasoning. SUNY Press, Albany, 1995.]]Google Scholar
Index Terms
- Optimal utterances in dialogue protocols
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