Trusting Norms: A Conceptual Norms’ Trust Framework for Norms Adoption in Open Normative Multi-agent Systems

Hamid, Nurzeatul Hamimah Abdul; Ahmad, Mohd Sharifuddin; Ahmad, Azhana; Mahmoud, Moamin A.; Yusoff, Mohd Zamri

doi:10.1007/978-3-319-19638-1_17

Cited by 3 publications

(10 citation statements)

References 21 publications

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“…Because of this, trust acts as a redactor of social complexity [6]. This phenomenon [7] can be compared with studies on social actors and their decision-making process, in the expectation that the understanding of this process (and modelling) permits the emergence of trust. Therefore, trust is part of the idea of social influence and on this basis, trust can be seen as a personal trait that increases personal relationships.…”

Section: Another's Influence In Terms Of the Extent Of One's Perceptimentioning

confidence: 99%

“…It comes to mind whether the norm (queuing, sitting or loitering) is trusted or avoiding it will lead to the failure to embark the train and have to wait for the next train? [7]. In this case, it is possible to rely on certain sources to ascertain the trustworthy of this norm.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this case, it is possible to rely on certain sources to ascertain the trustworthy of this norm. One of these sources is to enquire the authorized people at the station about that norm and whether it is trusted or distrusted [7], [12].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therborn [18] states that the acceptance of a particular norm is significantly greater if the individual views the source as being credible, such as an accredited/prestigious organization, parents or people in authority. However, we exploit the agent's authority level proposed by Abdul Hamid et al [19], who divide the trust level into three categories; low, medium and high. While Abdul Hamid et al [19] divide the trust level into three categories, we exploit only two categories: Trust (1) and Distrust (0).…”

Section: B Authoritymentioning

confidence: 99%

“…However, we exploit the agent's authority level proposed by Abdul Hamid et al [19], who divide the trust level into three categories; low, medium and high. While Abdul Hamid et al [19] divide the trust level into three categories, we exploit only two categories: Trust (1) and Distrust (0).…”

Section: B Authoritymentioning

confidence: 99%

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Norm’s Trust Model to Evaluate Norms Benefit Awareness for Norm Adoption in an Open Agent Community

Itaiwi

Ahmad

Tang³

2018

ijacsa

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In recent developments, norms have become important entities that are considered in agent-based systems' designs. Norms are not only able to organize and coordinate the actions and behaviour of agents but have a direct impact on the achievement of agents' goals. Consequently, an agent in a multiagent system requires a mechanism that detects specific norms for adoption while rejecting others. The impact of such norms selection imposes risks on the agent's goal and its plan ensuing from the probability of positive or negative outcomes when the agent adopts or reject some norms. In an earlier work, this predicament is resolved by enabling an agent to evaluate a norm's benefits if it decides to adopt a particular norm. The evaluation mechanism entails a framework that analyzes a norm's adoption ratio, yield, morality and trust, the unified values of which indicates the norm's benefits. In this paper, the trust parameter of the mechanism is analyzed and a norm's trust model is proposed and utilized in the evaluation of a norm's benefits for subsequent adoption or rejection. Ultimately, the norm's benefits are determined as a consequence of a favorable or unfavorable trust value as a significant parameter in a norm's adoption or rejection.

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Section: Another's Influence In Terms Of the Extent Of One's Perceptimentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: B Authoritymentioning

confidence: 99%

Section: B Authoritymentioning

confidence: 99%

See 3 more Smart Citations

Norm’s Trust Model to Evaluate Norms Benefit Awareness for Norm Adoption in an Open Agent Community

Itaiwi

Ahmad

Tang³

2018

ijacsa

View full text Add to dashboard Cite

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User trust in artificial intelligence: A comprehensive conceptual framework

Yang¹,

Wibowo

2022

Electron Markets

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This paper provides a systematic literature review of current studies between January 2015 and January 2022 on user trust in artificial intelligence (AI) that has been conducted from different perspectives. Such a review and analysis leads to the identification of the various components, influencing factors, and outcomes of users' trust in AI. Based on the findings, a comprehensive conceptual framework is proposed for a better understanding of users' trust in AI. This framework can further be tested and validated in various contexts for enhancing our knowledge of users' trust in AI.This study also provides potential future research avenues. From a practical perspective, it helps AIsupported service providers comprehend the concept of user trust from different perspectives. The findings highlight the importance of building trust based on different facets to facilitate positive cognitive, affective, and behavioral changes among the users.

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