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 ...

The term trust management suggests that trust can be managed, for example by creating trust, by assessing trustworthiness, or by determining optimal decisions based on specific levels of trust. The problem to date is that trust management in online environments is a diverse and ill defined discipline. In fact, the term trust management is being used with very different meanings in different con...

In Web-based social networks (WBSN), social trust relationships between users indicate the similarity of their needs and opinions. Trust can be used to make recommendations on the web because trust information enables the clustering of users based on their credibility which is an aggregation of expertise and trustworthiness. In this paper, we propose a new approach to making recommendations bas...

Trustworthiness besides other decision making factors like technical or regulatory requirements can be one key aspect for the decision making in coalition formation processes with agents in the energy domain. In this paper the trustworthiness facet information security is used to describe the realized security measures and standards of the systems for coalising energy agents as one trust buildi...

Multi-agent systems where agents compete against one another in a specific environment pose challenges in relation to the trust modeling of an agent aimed at ensuring the right decisions are taken. A lot of literature has focused on describing trust models, but less in developing strategies to use them optimally. In this paper we propose a decision-making strategy that uses the information prov...

Among the various human factors impinging upon making a decision in an uncertain environment, risk and trust are surely crucial ones. Several models for trust have been proposed in the literature but few explicitly take risk into account. This paper analyses the relationship between the two concepts by first looking at how a decision is made to enter into a transaction based on the risk informa...

The concept of trust in multi-agent systems (MASs) has received significant attention in recent years, and a number of approaches have been proposed to enable agents to form, maintain and use trust relationships in their dealings with others. However, current approaches do not adequately address highly dynamic multi-agent systems, where the population and structure changes frequently. For examp...

Trust is an important factor in the success of interenterprise collaborations. Trust decisions are made based on whether the incentives to participate in a collaboration outweigh the risks involved. Supporting these decisions is a central activity in inter-enterprise trust management. In this paper, we review factors affecting human trust decision making in online environments and apply them to...

Reputation-based trust models are essentially reinforcement learning mechanisms reliant on feedback. As such, they face a cold start problem when attempting to assess an unknown service partner. Stateof-the-art models address this by incorporating dispositional knowledge, the derivation of which is not described regularly. We propose three mechanisms for integrating knowledge readily available ...

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 ...