An Adaptive Trust Model Based on Fuzzy Logic

Jeferson José Baqueta; Miriam Mariela Mercedes Morveli-Espinoza; Gustavo Alberto Giménez Lugo; Cesar Augusto Tacla

doi:10.22456/2175-2745.110818

Authors

Jeferson José Baqueta Universidade Tecnológica Federal do Paraná https://orcid.org/0000-0002-6646-6888
Miriam Mariela Mercedes Morveli-Espinoza Universidade Tecnológica Federal do Paraná https://orcid.org/0000-0002-7376-2271
Gustavo Alberto Giménez Lugo Universidade Tecnológica Federal do Paraná https://orcid.org/0000-0002-6633-3014
Cesar Augusto Tacla Universidade Tecnológica Federal do Paraná https://orcid.org/0000-0002-8244-8970

DOI:

https://doi.org/10.22456/2175-2745.110818

Keywords:

Trust Model, Reputation, Social image, Partner Selection

Abstract

In cooperative environments is common that agents delegate tasks to each other to achieve their goals since an agent may not have the capabilities or resources to achieve its objectives alone. However, to select good partners, the agent needs to deal with information about the abilities, experience, and goals of their partners. In this situation, the lack or inaccuracy of information may affect the agent's judgment about a given partner; and hence, increases the risk to rely on an untrustworthy agent. Therefore, in this work, we present a trust model that combines different pieces of information, such as social image, reputation, and references to produce more precise information about the characteristics and abilities of agents. An important aspect of our trust model is that it can be easily configured to deal with different evaluation criteria. For instance, as presented in our experiments, the agents are able to select their partners by availability instead of the expertise level. Besides, the model allows the agents to decide when their own opinions about a partner are more relevant than the opinions received from third parties, and vice-versa. Such flexibility can be explored in dynamic scenarios, where the environment and the behavior of the agents might change constantly.

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Author Biographies

Jeferson José Baqueta, Universidade Tecnológica Federal do Paraná

Received my bachelor in Computer Science from the State University of West Paraná (2012) (Brazil), and the master degree in Computer Science from the Federal University of Rio Grande do Sul (2017) (Brazil). Currently, I am a Ph.D. student at the Technological Federal University of Paraná (UTFPR) in the Graduate Program in Electrical and Computer Engineering (CPGEI) (2019-2022) (Brazil). With experience in software development and web applications, I have worked as a lecturer for 4 years, teaching computer programming and computer architecture.

Cesar Augusto Tacla, Universidade Tecnológica Federal do Paraná

Cesar A. Tacla obtained his BS in Informatics from Federal University of Paraná (Brazil, 1987), his MS from Technological Federal University of Parana State (UTFPR, Brazil, 1993), and his Ph.D. from the University of Technology of Compiègne (France) on 2003. Currently, he is an associate professor at UTFPR with the Graduate Program in Electrical and Computer Engineering Informatics and with the Graduate Program in Applied Computing. His main research interests are cognitive multi-agent systems and computational argumentation tackling problems related to goal processing, motivational representation for goals, conflict resolution, consensual decision taking (reasoning under uncertainty), and explainability.

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