We present a novel trust model based on BAF-Logic, a system of reasoning that was originally developed for Belief Augmented Frames (BAF), to perform inexact reasoning over knowledge represented as Minsky frames and augmented with twin belief values that measure an Agent’s degree of belief for and against a proposition. By applying BAF-Logic to trust modeling, we are not only able to model trust...

This thesis addresses two problems of trust: 1. Knowledge on Trust: If we are provided with information by a variety of individuals, whom we trust to different degrees, what is the best overall theory we can form from the information we are given? 2. Social Trust: If one does not have direct experience of an individual, how can one establish an initial degree of trust through the offices of soc...

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 “wordof-mouth” trust information as well as capabilities from each user...

Economic and social activity is increasingly reflected in operations on digital objects and network-mediated interactions between digital entities. Trust is a prerequisite for many of these interactions, particularly if items of value are to be exchanged. In this paper the probabilistic model and computational approaches found in some network reliability models are applied to modelling computat...

the increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. through the development of semantic web, one major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. this raises the question of how much credence to give each resource. each user knows the trustworthiness of ...

Trust is a social phenomenon that impacts the situation awareness of individuals and indirectly their decision-making. However, most of the existing computational models of situation awareness do not take interpersonal trust into account. Contrary to those models, this study introduces a computational, agent-based situation awareness model incorporating trust to enable building more human-like ...

We present a computational model capable of predicting-above human accuracy-the degree of trust a person has toward their novel partner by observing the trust-related nonverbal cues expressed in their social interaction. We summarize our prior work, in which we identify nonverbal cues that signal untrustworthy behavior and also demonstrate the human mind's readiness to interpret those cues to a...

The growth in knowledge sharing enabled by the (Semantic) Web has made trust an increasingly critical issue. Based on explicit inter-agent trust relations, a trust network emerges on the (Semantic) Web in the knowledge sharing context. The concept of a trust network and its application to knowledge sharing have received recent attention but neither their structural properties (e.g. dynamics, co...

Computational trust mechanisms aim to produce trust ratings from both direct and indirect information about agents’ behaviour. Subjective Logic (SL) has been widely adopted as the core of such systems via its fusion and discount operators. In recent research we revisited the semantics of these operators to explore an alternative, geometric interpretation. In this paper we present principled des...