Notions of reputation in multi-agents systems

Mui, Lik; Mohtashemi, Mojdeh; Halberstadt, Ari

doi:10.1145/544741.544807

Cited by 205 publications

(141 citation statements)

References 36 publications

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“…There are several works that help to give a precise and distinct meaning to both concepts (McKnight and Chervany 1996;Conte and Paolucci 2002;Mui et al 2002). However, very few models propose links between both concepts.…”

Section: Discussionmentioning

confidence: 99%

“…In the area of trust, Grandison et al in their work "A survey of trust in Internet application" (Grandison and Sloman 2000) examine the various definitions of trust in the literature and provide a working definition of trust for Internet applications. There are also some proposals to establish a typology for reputation (Mui et al 2002) and trust (McKnight and Chervany 2002).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Review on Computational Trust and Reputation Models

Sabater¹,

Sierra²

2005

Artif Intell Rev

730

446

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Abstract. The scientific research in the area of computational mechanisms for trust and reputation in virtual societies is a recent discipline oriented to increase the reliability and performance of electronic communities. Computer science has moved from the paradigm of isolated machines to the paradigm of networks and distributed computing. Likewise, artificial intelligence is quickly moving from the paradigm of isolated and non-situated intelligence to the paradigm of situated, social and collective intelligence. The new paradigm of the so called intelligent or autonomous agents and multi-agent systems (MAS) together with the spectacular emergence of the information society technologies (specially reflected by the popularization of electronic commerce) are responsible for the increasing interest on trust and reputation mechanisms applied to electronic societies. This review wants to offer a panoramic view on current computational trust and reputation models.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Review on Computational Trust and Reputation Models

Sabater¹,

Sierra²

2005

Artif Intell Rev

730

446

View full text Add to dashboard Cite

show abstract

“…The third-party allows deterrence-based trust, i.e., you trust the other party because there is a very strict rule normative or legal system of rules, and the agent is punished for any violation of rules [7]. The third-party is the controller that controls the compliance of both parts to rules defined in the SLA, it measures the efficiency of the stakeholders transactions and computes their respective reputations [23]. An analogy of the third-party controller is the ebay online auction website 2 .…”

Section: Supervised Interactionmentioning

confidence: 99%

Normative Management of Web Service Level Agreements

Herssens

Faulkner

Jureta

2010

Lecture Notes in Computer Science

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Abstract. Service Level Agreements (SLAs) are used in ServiceOriented Computing to define the obligations of the parties involved in a transaction. SLAs define these obligations, including for instance the expected service levels to be delivered by the provider, and the payment expected from the client. The obligations of the parties must be made explicit prior to the transaction, and a mechanism should be available to control the interaction, in order to ensure that the obligations are met. We outline a norm-oriented multiagent system (NoMAS) architecture that is combined with the service-oriented architecture in order to support the definition, management, and control of SLAs between the service clients and service providers.

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“…Reputation is also context-dependent [13,14]. For example, David enjoys a reputation of being a very talented painter, but he may not have as high reputation as a cook.…”

Section: Properties Of Reputationmentioning

confidence: 99%

“…It is well-founded yet complex model; it does not model reputation in the trust model. Mui, et al, [14] review the existing work on reputation across diverse disciplines and give a typology of reputation, classified by the source of reputation. Our reputation model incorporates two types of reputation: interaction derived reputation and propagated reputation.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Reputation Mechanism for Mobile Ad Hoc Networks

Liu

Issarny

2004

Lecture Notes in Computer Science

140

104

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Abstract.Interactions between entities unknown to each other are inevitable in the ambient intelligence vision of service access anytime, anywhere. Trust management through a reputation mechanism to facilitate such interactions is recognized as a vital part of mobile ad hoc networks, which features lack of infrastructure, autonomy, mobility and resource scarcity of composing light-weight terminals. However, the design of a reputation mechanism is faced by challenges of how to enforce reputation information sharing and honest recommendation elicitation. In this paper, we present a reputation model, which incorporates two essential dimensions, time and context, along with mechanisms supporting reputation formation, evolution and propagation. By introducing the notion of recommendation reputation, our reputation mechanism shows effectiveness in distinguishing truth-telling and lying agents, obtaining true reputation of an agent, and ensuring reliability against attacks of defame and collusion.

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Notions of reputation in multi-agents systems

Cited by 205 publications

References 36 publications

Review on Computational Trust and Reputation Models

Review on Computational Trust and Reputation Models

Normative Management of Web Service Level Agreements

Enhanced Reputation Mechanism for Mobile Ad Hoc Networks

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