Research on negotiation and task allocation has been in the multi-agent systems realm since its inception as a research field. More recently, social aspects of agenthood have received increasing attention, namely developing on the fields of normative and trust systems. The integration of these different research contributions will allow to build robust applications for electronic agreement nego...

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 ...

Collaborative filtering is one of the widely used technologies in the e-commerce recommender systems. It can predict the interests of a user based on the rating information of many other users. But the traditional collaborative filtering recommendation algorithm has the problems such as lower recommendation precision and weaker robustness. To solve these problems, in this paper we present a rob...

Nowadays, the growth of virtual environments such as virtual organizations, social networks, and ubiquitous computing, has led to the adoption of trust concept. One of the methods of making trust in such environments is to use a long-term relationship with a trusted partner. The main problem of this kind of trust, which is based on personal experiences, is its limited domain. Moreover, both par...

In MAS studies on Trust building and dynamics the role of direct/personal experience and of recommendations and reputation is proportionally overrated; while the importance of inferential processes in deriving the evaluation of trustees’ trustworthiness is underestimated and not exploited. In this paper we focus on the importance of generalized knowledge: agents' categories. The cognitive advan...

During the last decades, a huge amount of trust and reputation models have been proposed, each of them with their own particularities and targeting different domains. While much effort has been made in defining ever-increasing complex models, little attention has been paid to abstract away the particularities of these models into a common set of easily understandable concepts. We propose a conc...

In this paper we propose a state space modeling approach for trust evaluation in wireless sensor networks. In our state space trust model (SSTM), each sensor node is associated with a trust metric, which measures to what extent the data transmitted from this node would better be trusted by the server node. Given the SSTM, we translate the trust evaluation problem to be a nonlinear state filteri...

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 ...

We describe an approach to managing the use of approximate models in optimization. This approach combines the idea of approximation models from engineering design optimization with the model trust region approach from nonlinear programming. The trust region framework regulates the amount of optimization done with the approximate models before one needs to appeal to a detailed model to check the...

Computational models of trust typically assume that an assessment of the trustworthiness of an individual can be formed from learning from the outcomes of a sequence of atomic tasks, as well as other evidence such as reports from third parties. Further, they assume that an agent’s trustworthiness can be modelled by a single probability distribution. In this paper we explore alternative mechanis...