Trust has been extensively studied in fields as varied as economics [13,17], business and marketing [8,24], politics, e-commerce [1,14,41], psychology [7,42,50], sociology [27], medicine, nursing [15], and computing science [10,11,19,39,40,44]. Whilst many definitions of trust have been proposed, none has been agreed upon. However, there have been some good efforts in inventorizing the differen...

Trust and reputation are fundamental concepts in multi-agent systems, but at the same time are significant to human life. The purpose of this paper is to find a way to enhance collective intelligence within organizations. First, we present some perspectives concerning the concepts of collective intelligence, trust and reputation. Then we suggest four computational models of trust and reputation...

Trust is a fundamental factor when people are interacting with each other, hence it is natural that trust has been researched also in relation to applications and agents. However, there is no single definition of trust that everybody would share. This, in turn, has caused a multitude of formal or computational trust models to emerge to enable trust use and dependence in applications. Since the ...

Trust is a construct of paramount importance in society. Accordingly, computational trust is evolving fast in order to allow trust in artificial societies. Despite the advances in this research field, most computational trust approaches evaluate trust by estimating the trustworthiness of the agents under evaluation (the trustees), without however distinguishing between the different dimensions ...

This paper addresses the issue of trust within the ad hoc context. Several models which claim to model trust are evaluated and a trust framework is then devised which bases itself on clustering technology. Our model aims at providing trust information about originally unknown nodes while making optimum use of computational capacity, which can be quite scarce in pure ad hoc networks. The use of ...

Introducing trust and reputation into multi-agent systems can significantly improve the quality and efficiency of the systems. The computational trust and reputation also creates an environment of survival of the fittest to help agents recognize and eliminate malevolent agents in the virtual society. The thesis redefines the computational trust and analyzes its features from different aspects. ...

The application scenarios envisioned for ‘global ubiquitous computing’ have unique requirements that are often incompatible with traditional security paradigms. One alternative currently being investigated is to support security decision-making by explicit representation of principals’ trusting relationships, i.e., via systems for computational trust. We focus here on systems where trust in a c...

Applying current existing trust models or trust management systems on mobile computing environments require extracting user’s trust standards in different contexts, user’s experience or feedback dissemination and user’s decision about trust or distrust. However mobility, uncertainty and heterogeneity of mobile computing environments make trust management much more complicated, so they are inade...

Data-driven computational science on community computational resources is frequently of a magnitude and scale that it requires that computations be done remotely, generating resulting data collections that are too large to be shipped back to a user’s workstation. Service-oriented middleware is well equipped to carry out actions on behalf of a user, but SOA middleware does not address user trust...

Development of authorization mechanisms for secure information access by a big community of users in an unlock environment is a major trouble in the ever-growing Internet globe. In this paper we intend a computational dynamic trust model for user authorization, deep-rooted in findings from social science. Similar to most existing computational trust models, this model distinguishes trusting bel...