Transforming agent-actions into reputational images with probabilistic planning and a fuzzy cognitive map

Article type: Research Article

Authors: Moya, Javier M.^{; *} | Carbo, Javier

Affiliations: Group of Applied Artificial Intelligence, Computer Science Department, University Carlos III of Madrid, Madrid, Spain. E-mails: [email protected], [email protected]

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: This paper proposes to see the way to integrate recommendations and direct experiences into reputational images as a planning problem. Specifically we achieve this goal through a combination of a fuzzy cognitive map and probabilistic planning with RDDL. Both were implemented inside a deliberative agent architecture that intends to appropriately represent the uncertain nature of data (with a Markov decision process) and the involved deliberative reasoning (with a fuzzy cognitive map). We are interested in the viability of using this view so it was tested by the simulations inspired in the ART testbed domain, but our final intention is proposing an alternative and richer representation of concepts involved in reputation problems instead of increasing the accuracy of trust predictions at any cost.

Keywords: Trust, reputation, agent architectures, probabilistic planning, fuzzy cognitive map

DOI: 10.3233/AIC-150676

Journal: AI Communications, vol. 28, no. 4, pp. 735-749, 2015