Abstract
Trust and reputation models are very useful tools to assist decision making process within agents. They can help to represent and to approximately predict the behaviour of the agents in a system. Trust and reputation values can be used to recognize the agents with a good-expected performance. This way, trust and reputation models offer an adaptive mechanism to guide interactions between agents. In this paper we study the behaviour of TRSIM model when it is applied to consumer-provider scenario. We present several experimental evidences related with the stability of the model for different types of requirements of the consumer, and recognition of different types of providers. Also, we study the ability of the model to adapt to behavioural changes of provider agents.
This paper is supported by a Fundación Carolina scholarship and also by the Spanish Ministry of Education and Science in the scope of the Research Project TIN-2005-08501-C03-02 and by the Project “Análisis, Estudio y Desarrollo de Sistemas Inteligentes y Servicios Telemáticos” through the Fundación Séneca within the Program “Generación del Conocimiento Científico de Excelencia”.
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Caballero, A., Botia, J.A., Gómez-Skarmeta, A. (2008). Adaptability of the TRSIM Model to Some Changes in Agents Behaviour. In: Rong, C., Jaatun, M.G., Sandnes, F.E., Yang, L.T., Ma, J. (eds) Autonomic and Trusted Computing. ATC 2008. Lecture Notes in Computer Science, vol 5060. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69295-9_32
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DOI: https://doi.org/10.1007/978-3-540-69295-9_32
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