This study modelled spite sensitivity, the worry that others are willing to incur a loss hurt you, which is thought undergird suspiciousness and persecutory ideation. Two samples performed parametric, non-iterative trust game known as Minnesota Trust Game (MTG). The MTG distinguishes suspicious decision-making from otherwise rational mistrust by incentivizing player in certain situatio...

Enabling trust to ensure more effective and efficient agent interaction is at the heart of the Semantic Web vision. We propose a computational trust model based on Bayesian decision theory in this paper. Our trust model combines a variety of sources of information to assist users with making correct decision in choosing the appropriate providers according to their preferences that expressed by ...

Research in models for experience-based trust management has either ignored the problem of modelling and reasoning about dynamically changing principal behaviour, or provided ad-hoc solutions to it. Probability theory provides a foundation for addressing this and many other issues in a rigorous and mathematically sound manner. Using Hidden Markov Models to represent principal behaviours, we foc...

In this paper, we propose a facilitator which finds capable and trustworthy partners on behalf of client users, which helps users form and maintain e-partnerships for electronic commerce and electronic collaboration. Unlike existing capability-based facilitators or matchmakers, the facilitator collects and maintains private “word-of-mouth” trust information as well as capabilities from each use...

In this paper, the results of a validation experiment for two existing computational trust models describing human trust are reported. One model uses experiences of performance in order to estimate the trust in different trustees. The second model carries the notion of relative trust. The idea of relative trust is that trust in a certain trustee not solely depends on the experiences with that t...

Facial trait judgments are an important information cue for people. Recent works in the Psychology field have stated the basis of face evaluation, defining a set of traits that we evaluate from faces (e.g. dominance, trustworthiness, aggressiveness, attractiveness, threatening or intelligence among others). We rapidly infer information from others faces, usually after a short period of time (< ...

In this paper we develop a novel probabilistic model of computational trust that explicitly deals with correlated multi-dimensional contracts. Our starting point is to consider an agent attempting to estimate the utility of a contract, and we show that this leads to a model of computational trust whereby an agent must determine a vector of estimates that represent the probability that any dimen...

Enabling trust on the Semantic Web to ensure more efficient agent interaction is an important research topic. Current research on trust seems to focus on developing computational models, semantic representations, inference techniques, etc. However, little attention has been given to the plausible trust strategies or tactics that an agent can follow when interacting with other agents on the Sema...

Agents in Multi-Agent Systems depend on interactions with others to achieve their goals. Often, goals of agents conflict with each other, and agents can be unreliable or deceitful. Therefore, trust and reputation are key issues in this domain. As in human societies, software agents must interact with other agents in settings where there is the possibility that they can be exploited. This sugges...

Trust estimation is a fundamental process in several multiagent systems domains, from social networks to electronic business scenarios. However, the majority of current computational trust systems is still too simplistic and is not situation-aware, jeopardizing the accuracy of the predicted trustworthiness values of agents. In this paper, we address the inclusion of context in the trust managem...