Abstract
Trust measures the relationship between commitment and perceived execution of contracts, and is the foundation for the confidence that an agent has in signing a contract. Negotiation is an information exchange process as well as a proposal exchange process. A rich decision model for intelligent agents involved in multi issue negotiations is described. The model, grounded on information theory, takes into account the aspects of trust and preference to devise mechanisms to manage dialogues. The model supports the design of agents that aim to take ‘informed decisions’ taking into account that which they have actually observed.
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Arcos, J.L., Esteva, M., Noriega, P., Rodríguez, J.A., Sierra, C.: Environment engineering for multiagent systems. Journal on Engineering Applications of Artificial Intelligence 18 (2005)
Boutilier, C., Brafman, R., Domshlak, C., Hoos, H., Poole, D.: CP-nets: A tool for representing and reasoning with conditional ceteris paribus preference statements. Journal of Artificial Intelligence Research 21, 135–191 (2004)
Debenham, J.: Auctions and bidding with information. In: Faratin, P., Rodriguez-Aguilar, J. (eds.) Proceedings Agent-Mediated Electronic Commerce VI: AMEC, July 2004, pp. 15–28 (2004)
Debenham, J.: Bargaining with information. In: Jennings, N., Sierra, C., Sonenberg, L., Tambe, M. (eds.) Proceedings Third International Conference on Autonomous Agents and Multi Agent Systems AAMAS 2004, pp. 664–671. ACM, New York (2004)
Dorigo, M., Stützle, T.: Ant Colony Optimization. MIT Press, Cambridge (2004)
Falcone, R., Castelfranchi, C.: The socio-cognitive dynamics of trust: Does trust create trust? In: Proceedings of the workshop on Deception, Fraud, and Trust in Agent Societies, pp. 55–72 (2001)
Faratin, P., Sierra, C., Jennings, N.: Using similarity criteria to make issue trade-offs in automated negotiation. Journal of Artificial Intelligence 142(2), 205–237 (2003)
Jaynes, E.: Probability Theory — The Logic of Science. Cambridge University Press, Cambridge (2003)
Karlins, M., Abelson, H.: Persuasion. Crosby Lockwood and Son (1970)
MacKay, D.: Information Theory, Inference and Learning Algorithms. Cambridge University Press, Cambridge (2003)
Ramchurn, S., Sierra, C., Godo, L., Jennings, N.: Devising a trust model for multiagent interactions using confidence and reputation. International Journal of Applied Artificial Intelligence 18(9–10), 91–204 (2005)
Sabater, J., Sierra, C.: Reputation and social network analysis in multi-agent systems. In: Proceedings of the First International Conference on Autonomous Agents and Multi-Agent systems, pp. 475–482 (2002)
Yolum, P., Singh, M.: Achieving trust via service graphs. In: Proceedings of the Autonomous Agents and Multi-Agent Systems Workshop on Deception, Fraud and Trust in Agent Societies. Springer, Heidelberg (2003)
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© 2005 Springer-Verlag Berlin Heidelberg
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Debenham, J., Sierra, C. (2005). Agents, Information and Trust. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_67
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DOI: https://doi.org/10.1007/11589990_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30462-3
Online ISBN: 978-3-540-31652-7
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