Computational trust is a central paradigm in today’s Internet as our modern society is increasingly relying upon online transactions and social networks. This is indeed leading to the introduction of various trust management systems and associated trust models, which are customized according to their target applications. However, the heterogeneity of trust models prevents exploiting the trust k...

Computational trust has been developed as a novel means of coping with uncertainty within collaborative communities of interacting peers. The idea now offers enourmous potential for use in pervasive mobile environments; however, to date there is little agreement about what computational trust itself means, and what the limitations that emerge from its use are. In this work, we project the idea ...

Modeling trust in complex dynamic environments is an important yet challenging issue since an intelligent agent may strategically change its behavior to maximize its profits. In this paper, we propose a context aware trust model to predict dynamic trust by using a Hidden Markov Model (HMM) to model an agent’s interactions. Although HMMs have already been applied in the past to model an agent’s ...

Computational trust and reputation models are used to aid the decisionmaking process in complex dynamic environments, where we are unable to obtain perfect information about the interaction partners. In this paper we present a comparison of our proposed hidden Markov trust model to the Beta reputation system. The hidden Markov trust model takes the time between observations into account, it als...

When playing games of strategic interaction, such as iterated Prisoner's Dilemma and iterated Chicken Game, people exhibit specific within-game learning (e.g., learning a game's optimal outcome) as well as transfer of learning between games (e.g., a game's optimal outcome occurring at a higher proportion when played after another game). The reciprocal trust players develop during the first game...

This work examines the interplay of inter-personal and inter-organizational trust, two distinct but related concepts, through a theoretic inter-organizational trust-based security model for a multi-agent system information-sharing community. A calculus that mathematically models trust building at the inter-organizational level is at the heart of this model. In interorganizational or inter-firm ...

Many models of trust consider the trust an agent has in a trustee as the result of experiences with that specific trustee in combination with certain personality attributes. Such trust states are a key element for decision making, thereby for instance deciding what agent to request for a certain piece of information, or to delegate a task to. In order to understand this entire process within hu...

In the recent years, trust has become a crucial issue in studying agentbased distributed autonomous systems such as Semantic Web or Peerto-Peer, in which software agents need to select the most trustworthy partners to interact. Most current computational trust models are mainly based on two basic factors: personal experience trust and reference trust on a single issue of trust. These models may...