Abstract
A pair of ‘trust maps’ give a fine-grained view of an agent’s accumulated, time-discounted belief that the enactment of commitments by another agent will be in-line with what was promised, and that the observed agent will act in a way that respects the confidentiality of previously passed information. The structure of these maps is defined in terms of a categorisation of utterances and the ontology. Various summary measures are then applied to these maps to give a succinct view of trust.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Reece, S., Rogers, A., Roberts, S., Jennings, N.R.: Rumours and reputation: Evaluating multi-dimensional trust within a decentralised reputation system. In: 6th International Joint Conference on Autonomous Agents and Multi-agent Systems AAMAS 2007 (2007)
Ramchurn, S., Huynh, T., Jennings, N.: Trust in multi-agent systems. The Knowledge Engineering Review 19, 1–25 (2004)
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)
Sabater, J., Sierra, C.: Review on computational trust and reputation models. Artificial Intelligence Review 24, 33–60 (2005)
Artz, D., Gil, Y.: A survey of trust in computer science and the semantic web. Web Semantics: Science, Services and Agents on the World Wide Web 5, 58–71 (2007)
Viljanen, L.: Towards an Ontology of Trust. In: Katsikas, S.K., López, J., Pernul, G. (eds.) TrustBus 2005. LNCS, vol. 3592, pp. 175–184. Springer, Heidelberg (2005)
Huynh, T., Jennings, N., Shadbolt, N.: An integrated trust and reputation model for open multi-agent systems. Autonomous Agents and Multi-Agent Systems 13, 119–154 (2006)
MacKay, D.: Information Theory, Inference and Learning Algorithms. Cambridge University Press, Cambridge (2003)
Jennings, N., Faratin, P., Lomuscio, A., Parsons, S., Sierra, C., Wooldridge, M.: Automated negotiation: Prospects, methods and challenges. International Journal of Group Decision and Negotiation 10, 199–215 (2001)
Faratin, P., Sierra, C., Jennings, N.: Using similarity criteria to make issue trade-offs in automated negotiation. Journal of Artificial Intelligence 142, 205–237 (2003)
Rosenschein, J.S., Zlotkin, G.: Rules of Encounter. The MIT Press, Cambridge (1994)
Kraus, S.: Negotiation and cooperation in multi-agent environments. Artificial Intelligence 94, 79–97 (1997)
Li, Y., Bandar, Z.A., McLean, D.: An approach for measuring semantic similarity between words using multiple information sources. IEEE Transactions on Knowledge and Data Engineering 15, 871–882 (2003)
Cheeseman, P., Stutz, J.: On The Relationship between Bayesian and Maximum Entropy Inference. In: Bayesian Inference and Maximum Entropy Methods in Science and Engineering, pp. 445–461. American Institute of Physics, Melville (2004)
Paris, J.: Common sense and maximum entropy. Synthese 117, 75–93 (1999)
Sierra, C., Debenham, J.: The LOGIC Negotiation Model. In: Proceedings Sixth International Conference on Autonomous Agents and Multi Agent Systems AAMAS 2007, Honolulu, Hawai’i (2007)
Sierra, C., Debenham, J.: Trust and honour in information-based agency. In: Stone, P., Weiss, G. (eds.) Proceedings Fifth International Conference on Autonomous Agents and Multi Agent Systems AAMAS 2006, Hakodate, Japan, pp. 1225–1232. ACM Press, New York (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Debenham, J., Sierra, C. (2008). A Map of Trust between Trading Partners. In: Furnell, S., Katsikas, S.K., Lioy, A. (eds) Trust, Privacy and Security in Digital Business. TrustBus 2008. Lecture Notes in Computer Science, vol 5185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85735-8_2
Download citation
DOI: https://doi.org/10.1007/978-3-540-85735-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85734-1
Online ISBN: 978-3-540-85735-8
eBook Packages: Computer ScienceComputer Science (R0)