Applying fuzzy contextual filters to variance assessment in the ART testbed: the SPARTAN appraiser agent.

• Autores: Esteve del Acebo Peña, Nicolás Hormazábal, Josep Lluis de la Rosa Esteva
• Localización: Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, ISSN-e 1988-3064, ISSN 1137-3601, Vol. 12, Nº. 39, 2008, págs. 41-50
• Idioma: inglés
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• Resumen

  • Trust modelling is widely recognized as an aspect of essential importance in the construction of agents and multi agent systems (MAS). As a consequence, several trust formalisms have been developed over the last years. All of them have, in our opinion a limitation: they can determine the trustworthiness or untrustworthiness of the assertions expressed by a given agent, but they don�t supply mechanisms for correcting this information in order to extract some utility from it. In order to overcome this limitation, we introduce the concept of reliability as a generalization of trust, and present Fuzzy Contextual Filters (FCF) as reliability modeling methods loosely based on system identification and signal processing techniques. Finally we illustrate their applicability to the appraisal variance estimation problem in the Agent Reputation and Trust (ART) testbed.