Trust and honour in information-based agency

ABSTRACT

An argumentation based negotiation model is supported by information theory. Argumentative dialogues change the models of agents with respect to ongoing relationships. Trust and Honour are key components. Trust measures expected deviations of behaviour in the execution of commitments. Honour measures the expected integrity of the arguments exchanged. We understand rhetorical moves in dialogues as actions to project the current relationships into the future.

REFERENCES

• 1: John Debenham, Bargaining with Information, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, p.663-670, July 19-23, 2004, New York, New York [doi>10.1109/AAMAS.2004.73]
• 2: Marco Dorigo , Thomas Stützle, Ant Colony Optimization, Bradford Book, 2004
• 3: Marc Esteva , Julian A. Padget , Carles Sierra, Formalizing a Language for Institutions and Norms, Revised Papers from the 8th International Workshop on Intelligent Agents VIII, p.348-366, August 01-03, 2001
• 4: Faratin, P., Sierra, C., and Jennings, N. Using similarity criteria to make issue trade-offs in automated negotiation. Journal of Artificial Intelligence 142, 2 (2003), 205--237.
• 5: E. Giménez-Funes , L. Godo , J. Rodríguez-Aguilar , P. Garcia-Calvés, Designing Bidding Strategies for Trading Agents in Electronic Auctions, Proceedings of the 3rd International Conference on Multi Agent Systems, p.136, July 03-07, 1998
• 6: Joseph Y. Halpern, Reasoning about Uncertainty, MIT Press, Cambridge, MA, 2003
• 7: Jaynes, E. Probability Theory --- The Logic of Science. Cambridge University Press, 2003.
• 8: Jennings, N., Faratin, P., Lomuscio, A., Parsons, S., Sierra, C., and Wooldridge, M. Automated negotiation: Prospects, methods and challenges. International Journal of Group Decision and Negotiation 10, 2 (2001), 199--215.
• 9: Sarit Kraus, Negotiation and cooperation in multi-agent environments, Artificial Intelligence, v.94 n.1-2, p.79-97, July 1997 [doi>10.1016/S0004-3702(97)00025-8]
• 10: Li, Y., Bandar, Z. A., and McLean, D. An approach for measuring semantic similarity between words using multiple information sources. IEEE Transactions on Knowledge and Data Engineering 14(4) (2003).
• 11: David J. C. MacKay, Information Theory, Inference & Learning Algorithms, Cambridge University Press, New York, NY, 2002
• 12: Paris, J. Common sense and maximum entropy. Synthese 117, 1 (1999), 75--93.
• 13: Rosenschein, J. S., and Zlotkin, G. Rules of Encounter. The MIT Press, Cambridge, USA, 1994.
• 14: Carles Sierra , John Debenham, An information-based model for trust, Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, July 25-29, 2005, The Netherlands [doi>10.1145/1082473.1082549]
• 15: Carles Sierra , Nicholas R. Jennings , Pablo Noriega , Simon Parsons, A Framework for Argumentation-Based Negotiation, Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages, p.177-192, July 24-26, 1997

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Multiagent systems

General Terms:
Theory

Keywords:
multiagent systems, trust