A Model of Trust, Moods, and Emotions in Multiagent Systems and its Empirical Evaluation Report Title We study the interplay of moods, emotions, and trust in decisionmaking contexts characterized by commitments among agents. We develop a general approach representing the relationships among these concepts via a Bayesian network model. Our approach incorporates insights from the literature and p...

The Internet form a globally distributed network that provides a ubiquitous medium for interaction, the exchange of ideas, and commerce. The web is pervading our everyday lives in ways that were unimaginable even ten years ago. The evolving use of the web requires robust and efficient trust and reputation management mechanisms. During the past decade, online trust and reputation systems have pr...

This paper proposes a facilitator which finds capable and trustworthy partners on behalf of client users (agents), which helps agents form and maintain e-partnerships for electronic commerce. Unlike existing capability-based facilitators or matchmakers, the facilitator collects and maintains private “word-of-mouth” trust information as well as capabilities from each agent and uses the informati...

Ranking systems such as those in product review sites and recommender systems usually use ratings to rank favorite items based on both their quality and popularity. Since higher ranked items are more likely selected and yield more revenues for their owners, providers of unpopular and low quality items have strong incentives to strategically manipulate their ranking. This paper analyzes the adve...

A grid is a framework providing services to access and manage distributed hardware and software resources. A thorough authentication is required before any requested access or operation is allowed on any resource of the grid. In particular, much risk is involved when the grid is used for e-commerce where it is necessary to share resources with unknown parties. It is difficult for a resource use...

In open environments in which autonomous agents can break contracts, computational models of trust have an important role to play in determining who to interact with and how interactions unfold. To this end, we develop such a trust model, based on confidence and reputation, and show how it can be concretely applied, using fuzzy sets, to guide agents in evaluating past interactions and in establ...

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 enough exploited. In this paper we focus on the importance of generalized knowledge: agents' categories. The cognitiv...

Multi-agent systems Computational Trust Normative Control Betrayal Despite relevant insights from socio-economics, little research in multi-agent systems has addressed the interconnections between trust and normative notions such as contracts and sanctions. Focusing our attention on scenarios of betrayal, in this paper we combine the use of trust and sanctions in a negotiation process. We desc...

Endowing artificial agents with the ability to empathize is believed to enhance their social behavior and to make them more likable, trustworthy, and caring. Neuropsychological findings substantiate that empathy occurs to different degrees depending on several factors including, among others, a person’s mood, personality, and social relationships with others. Although there is increasing intere...

Nowadays, cryptography and security protocols are used everywhere, and public confidence in credit cards or electronic voting relies on their trustworthiness. As flaws can stay unremarked during several years, the scientific community has undertaken the automation of their research through formal methods, or to prove the protocols secure. Two families of models have been introduced : computatio...