Supporting trust in virtual communities

Abdul-Rahman, A; Hailes, Stephen

doi:10.1109/hicss.2000.926814

Cited by 878 publications

(591 citation statements)

References 5 publications

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“…Another trust model that is especially relevant to our work is due to Abdul-Rahmman [1]. This model does not take into account direct experiences, instead it draws on reputation as the only source of information to build trust.…”

Section: Related Workmentioning

confidence: 99%

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Analysis of the Agent Reputation and Trust Testbed

Gómez¹,

Sabater-Mir²,

Carbó³

et al. 2008

Int. Artif.

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Trust modelling is a challenging issue due to the dynamic nature of distributed systems and the unreliability of self-interested agents. In this context, the Agent Reputation and Trust (ART) Testbed has been used to compare trust models in two Spanish competitions in 2006 and 2007 and several international competitions. In this paper we describe the model we have presented to the Spanish competitions. We propose a trust model that uses the discrepancy between the information provided by other agents and its own experience in order to anticipate their actions, instead of using that discrepancy as a source of dishonesty and distrust. In addition we propose a cognitive model based on motivational attitudes to implement adaptive behaviors. Various implementations of this trust model have participated in the competitions; one was the winner of the first Spanish competition in 2006, the other won a combined game that included the participants in the two Spanish competitions.

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Section: Related Workmentioning

confidence: 99%

“…Certainties are values in [0,1] provided by agents when their opinions are requested. These values are supposed to represent the accuracy of the opinions to be provided by an agent in a given era.…”

Section: Mapping To the Art Testbedmentioning

confidence: 99%

Analysis of the Agent Reputation and Trust Testbed

Gómez¹,

Sabater-Mir²,

Carbó³

et al. 2008

Int. Artif.

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“…Various models for trust and reputation have been suggested as a result [3,4,[8][9][10]. Some models just give theoretical guidelines and others provide computational models.…”

Section: Related Workmentioning

confidence: 99%

“…Some models depend only on users' ratings to compute the trust value, and others get the trust values by observing the behaviors of the entity over some period. The trust has been defined in various ways because there are no consensus on what constitutes the trust [3][4][5][6][7][8][9][10]. The following is the Gambetta's [6] which is a well-known definition of trust: Trust (or, symmetrically, distrust) is a particular level of the subjective probability with which an agent will perform a particular action, both before [we] own action.…”

Section: Introductionmentioning

confidence: 99%

“…Even though there have been proposed various trust models [3][4][5][6][7][8][9][10], there are no models yet generally accepted. Some models are qualitative models [3] and others are quantitative models [4,[8][9][10]. Some models depend only on users' ratings to compute the trust value, and others get the trust values by observing the behaviors of the entity over some period.…”

Section: Introductionmentioning

confidence: 99%

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A Fuzzy Trust Model Using Multiple Evaluation Criteria

Lee

Hwang

Lee

et al. 2006

Fuzzy Systems and Knowledge Discovery

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Abstract. This paper is concerned with a fuzzy trust model which takes into account both evaluations from multiple criteria and the recommendations from others in order to set the trust degrees on entities. In the proposed trust model, the entity's preference degrees on the outcomes of the interactions are expressed in fuzzy sets and the trust degrees are determined by aggregating the satisfaction degrees with respect to evaluation criteria with Sugeno's fuzzy integral. In addition, the reputation information is incorporated into the trust degree determination.

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