The fact that open multiagent systems are vulnerable with respect to malicious agents poses a great challenge: the detection and the prevention of undesirable behaviours. That is the reason why techniques such as trust and reputation mechanisms have been proposed. In this paper, we explore the cognitive science background which captures the notions of trust, reputation and confidence to provide...

The development of computational trust models is growing in attention in the community of multi-agent systems and these models are currently seen as of extreme importance in social networks, electronic business and grid computing, among others. However, one of the biggest limitations in validating the existing computational trust models is the absence of realistic models of the behavior of agen...

Ubiquitous computing has been studied extensively as a post desktop model. Secure communication among various heterogeneous networks is been a challenge in service environment with location dynamism of the nodes. In this paper the authors proposed model for trust worthy communications among devices of various networks in a ubiquitous environment with varied service needs, security needs and com...

The development of computational trust models is growing in attention in the community of multi-agent systems and these models are currently seen as of extreme importance in social networks, electronic business and grid computing, among others. However, one of the biggest limitations in validating the existing computational trust models is the absence of realistic models of the behavior of agen...

While most of the computational trust models devote to truthfully detecting trustworthy individuals, much less attention is paid to how these models are perceived by users, who are the core of the trust machinery. Understanding the relation between trust models and users‟ perception of those models may contribute for reducing their complexity, while improving the user-experience and the system ...

There has been a lot of research and development in the field of computational trust in the past decade. Much of it has acknowledged or claimed that trust is a good thing. We think it’s time to look at the other side of the coin and ask the questions why is it good, what alternatives are there, where do they fit, and is our assumption always correct? We examine the need for an addressing of the...

Trust can be used to improve online automated recommendation within a given domain. Trust transitivity is used to make it successful. But trust transitivity has different interpretations. Trust and trust transitivity; both are the human mental phenomenon and for this reason, there is no such thing as objective transitivity. Trust transitivity and trust fusion both are important elements in comp...

This research investigates mechanisms that impact trust at online auctions. A qualitative study is discussed within this paper to identify mechanisms that impact trust at online auctions. The mechanisms identified are discussed within normative and grounded theoretical approaches to trust. A result of this discussion I seek to answer the question: what factors do people perceive as important to...

A decision procedure implemented over a computational trust mechanism aims to allow for decisions to be made regarding whether some entity or information should be trusted. As recognised in the literature, trust is contextual, and we describe how such a context often translates into a confidence level which should be used to modify an underlying trust value. Jøsang’s Subjective Logic has long b...

Existing e-markets presumes no deception at agents or employed simple mechanisms to counter-act deception. However, the reality shows agents in e-markets can either cheat or break contacts due to higher benefits elsewhere and is similar to what a human society is. Accordingly, the notion of trust in a human society should be implemented in e-markets. Most of existing researches on trust molded ...