Volume 12 Number 11 (Nov. 2017)
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JSW 2017 Vol.12(11): 892-905 ISSN: 1796-217X
doi: 10.17706/jsw.12.11.892-905

Towards a Framework for the Analysis and Evaluation of Computational Trust Models in Multi-agent Systems

Mifrah Youssef *, En-Nouaary Abdeslam, Dahchour Mohamed
Institut National des Postes et Télécommunications, Rabat, Morocco.

Abstract—In open dynamic multi-agent systems, trust is commonly considered as a critical concept to be handled and managed. Computational trust models are a kinds of formal models that have been proposed to manage trust in such situation. These models present a new form of distributed intelligence in virtual societies and collective intelligence. However, the diversity of those models makes user confused about which one to choose. Different testbeds have been established to evaluate trust and reputation models and verify their robustness and efficiency. However, a lack of flexibility to handle scenarios related to multi-context trust models arise with those testbeds. We present in this paper a framework for evaluating computational trust models that provides to users more flexibility while comparing trust models in open systems and shows analysis results in chart diagrams. The ultimate objective is to evaluate and classify available computational trust models.

Index Terms—Computational trust, agent-oriented software engineering, reputation, testbed, agent simulation, multi-agent systems.


Cite: Mifrah Youssef, En-Nouaary Abdeslam, Dahchour Mohamed, "Towards a Framework for the Analysis and Evaluation of Computational Trust Models in Multi-agent Systems," Journal of Software vol. 12, no. 11, pp. 892-905, 2017.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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