Evaluating Reputation in Multi-agents Systems

Mui, Lik; Halberstadt, Ari; Mohtashemi, Mojdeh

doi:10.1007/3-540-36609-1_10

Cited by 21 publications

(21 citation statements)

References 29 publications

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“…If those are not satisfactory, then other agents can be asked to give their own ratings. This approach raises questions of reliability of such ratings, the trustworthiness of the relevant agents, similarity with the private ratings, and the potential confidentiality of other ratings [17,18]. If this approach doesn't yield satisfactory results, then, as before, the central repository holding aggregate ratings can be examined.…”

Section: Figure 3 -Agents-based Reputation Managementmentioning

confidence: 97%

Agent-based service-oriented collaborative architecture for value chains of SMEs

Svirskas

Ignatiadis

Briggs

2008

2008 2nd IEEE International Conference on Digital Ecosystems and Technologies

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Current ICT trends provide new opportunities to implement some well-known models of e-collaboration between business partners, namely Virtual Organizations. The orientation towards Enterprise Social Computing naturally complements the way companies do business with each other, thus the new Service Oriented Architecture (SOA) and Web 2.0 based solutions can help to develop systems better suited for modern business needs. This paper presents an architecture based on SOA and Intelligent agents, which is aimed to address the needs of European SMEs involved in ERP software business. The solution is based on the concept of Digital Business Ecosystem, an environment and software infrastructure, which can help a community of potential business partners to establish and maintain valuable business relationships. Such ecosystem provides its members with value-added services like reputation management, peer-to-peer negotiation of business terms and flexible partner search through usage of Intelligent Agents technology in overall SOA-based framework.

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Section: Figure 3 -Agents-based Reputation Managementmentioning

confidence: 97%

Agent-based service-oriented collaborative architecture for value chains of SMEs

Svirskas

Ignatiadis

Briggs

2008

2008 2nd IEEE International Conference on Digital Ecosystems and Technologies

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“…There are two approaches about how to acquire available trust data. The local computation design calculates the trust data only from the locally obtained data (Aberer and Despotovic 2001;Gupta et al 2003;Shand et al 2004;Twigg 2003), while the global trust computation calculates from the entire trust data stored in disparate sources (Aberer and Despotovic 2001;Castelfranchi et al 2003;Lin et al 2004;Mui et al 2003;Sabater and Sierra 2002). Based on the concept of proximity collective wisdom, users may also compute one's trustworthiness from the other proximal persons that they trust.…”

Section: Related Workmentioning

confidence: 98%

Ubiquitous collaborative iTrust service: Exploring proximity collective wisdom

Hwang¹,

Yuan

2008

Inf Syst Front

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Ubiquitous e-service is one of the most recent links in the chain of evolution that has characterized the different eras of the internetworking environment. In order to leap the trust barrier for the users to embrace these ubiquitous e-services, we present a collaborative iTrust e-service for exploring proximal collective wisdom in the ad-hoc ubiquitous environment. By highlighting the homophily of e-service participants, these isolated individuals can be treated as a group with proximity. Proximity thus enables ad-hoc e-service participants to contribute their strength for ubiquitous collective wisdom. Simulation outcomes for trust decision quality enhancement show significant improvement over traditional designs. The iTrust e-service makes it possible for users to collaborate with the nearby user groups for establishing a reliable and trustworthy interaction environment. It also facilitates and empowers the potential benefits of various ubiquitous e-service applications.Keywords Ubiquitous e-service . Trust . Proximal collective wisdom . Ad-Hoc ubiquitous environment 1 Challenges for ubiquitous trustworthy e-Service Current e-service applications focus more on centralized control aspect, where long-term historical data are collected and top-down design architectures are used to guarantee information service quality of e-service applications. Since Mark Weiser (1991) termed 'ubiquitous' as a new paradigm for computing in 1988, efforts have been concerted to develop and advance information technologies towards 'connecting, invisible calm and silent, and real' ubiquitous computing. The rapid growth of information systems technologies and networking has generated significant opportunities for streamlining decision-making processes and maximizing productivity through distributed collaborations. Emerging collaborative environments need to provide efficient support for seamless integration of heterogeneous technologies such as mobile devices and infrastructures, web services, grid computing systems, various operating environments, and diverse products. Such heterogeneity introduces, however, significant security and privacy challenges for distributed collaborative applications. In such a loosely-coupled open computing system, trust management has become essential, together with traditional cryptography techniques, for building a healthy collaboration among participating peers (or agents). Hence, ensuring trust in an ubiquitous environment is one of the most important tasks of the new networking paradigm. Recent work (McKnight and Chervany 2002) suggests that reputation based trust systems as an effective way for nodes to identify and avoid malicious nodes in order to minimize the threat and protect the system from possible misuses and abuses by malicious nodes in a decentralized overlay networks. Such systems typically assign each node a trust value based on the transactions it has performed with others and the feedbacks it has received.

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“…Mui et al [5,6] define trust as "a subjective belief an agent has about another's future behaviour based on history of their encounters". The definition of trust by Mui et al takes into account the subjective nature of trust.…”

Section: Existing Literaturementioning

confidence: 99%

Subjective Quality Assessments in Virtual Environments

Tabesh

Hussain

Chang

et al. 2010

2010 13th International Conference on Network-Based Information Systems

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Being able to make objective Quality of Service (QoS) judgments or assessments is a challenging and crucial activity. The process of making these assessments is compounded when the environment in which the assessments have to be made are virtual; in the sense the interacting parties might not have necessarily met with each other physically. In a broad sense Quality of Service assessments could be broadly categorized into two areas, namely objective assessments and subjective assessments. In this paper, we propose a suite of metrics to carry out subjective quality assessment in a virtual environment.

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Evaluating Reputation in Multi-agents Systems

Cited by 21 publications

References 29 publications

Agent-based service-oriented collaborative architecture for value chains of SMEs

Agent-based service-oriented collaborative architecture for value chains of SMEs

Ubiquitous collaborative iTrust service: Exploring proximity collective wisdom

Subjective Quality Assessments in Virtual Environments

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