| Title: |
HARM: A Hybrid Rule-based Agent Reputation Model based on Temporal Defeasible Logic |
| Author(s): |
K. Kravari, N. Bassiliades.
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| Availability: |
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| Keywords: |
Temporal Defeasible Logic, Semantic Web, Intelligent Multi-agent Systems, Defeasible Reasoning, Agent Reputation.
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| Appeared in: |
6th International Symposium on Rules: Research Based and Industry Focused, Antonis Bikakis, Adrian Giurca (Ed.), Springer Berlin / Heidelberg, 7438, pp. 193 - 207, Montpellier, France, 2012.
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| Abstract: |
Multi-agent systems are considered a modern medium of communication and interaction with limited or no human intervention. As intelligent agents are gradually enriched with Semantic Web technology, their use is constantly increasing. To this end, the degree of trust that can be invested in a certain agent is recognized as a vital issue. Current trust models are mainly based on agents’ direct experience (interaction trust) or reports provided by others (witness reputation). Though, lately, some combinations of them (hybrid models) were also proposed. To overcome their main drawbacks, in this paper we propose HARM, a hybrid, rule-based reputation model based on temporal defeasible logic. It combines the advantages of the hybrid approach and the benefits of a rule-based reputation modeling approach, providing a stable and realistic estimation mechanism with low bandwidth and computational complexity. Moreover, an evaluation of the reputation model is presented, demonstrating the added value of the approach. |
| See also : |
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This paper has been cited by the following:
| 1 |
Cristian E. Briguez, Marcela Capobianco, Ana G. Maguitman, “Desarrollo de gestores de noticias incorporando tecnicas basadas en la nocion de confiabilidad”, XV Workshop De Investigadores En Ciencias De La Computacion (WICC 2012), Parana - Entre Rios, Argentina, pp. 944-948, April 2013 |
| 2 |
Cristian E. Briguez, Marcela Capobianco, and Ana G. Maguitman, “A Theoretical Framework For Trust-Based News Recommender Systems And Its Implementation Using Defeasible Argumentation”, Int. J. Artif. Intell. Tools, 22(4), 1350021 (2013) DOI: 10.1142/S0218213013500218 |
| 3 |
Ransi, Gurdeep Singh, "A Hybrid Artificial Reputation Model", MSc Thesis, School of Computer Science, University of Windsor, Ontario, Canada, Winter 2014. |
| 4 |
Ransi GS, Kobti Z. A Hybrid Artificial Reputation Model Involving Interaction Trust, Witness Information and the Trust Model to Calculate the Trust Value of Service Providers. Axioms. 2014; 3(1):50-63.
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