Implementing Commodity Flow in an Agent-Based Model E-Commerce System

Ganzha, Maria; Gawinecki, Maciej; Kobzdej, Pawel; Paprzycki, Marcin; Serzysko, Tomasz

doi:10.1007/978-3-540-68111-3_42

Cited by 1 publication

(2 citation statements)

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“…A trust model for evaluation of buyer and seller agents that operate in an open market environment, together with the design and implementation of a supporting system were described in the papers Badica et al (2006) and Ganzha et al (2006). The proposed model was specifically tailored to address the needs of a particular agent-based e-commerce environment.…”

Section: Related Workmentioning

confidence: 99%

“…Traditionally, reputation is evaluated by collecting feedback during history of previous interactions between business partners (Badica et al, 2006;Ganzha et al, 2006). There are many approaches for modeling and evaluation of reputation in agent systems, ranging from simple rating methods to more complex mathematical models based on graphs or sophisticated uncertainty or logic models (see the following survey papers (Sabater & Sierra, 2005;Wang & Lin, 2008;Jøsang, Ismail, & Boyd, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Enhanced Reputation Model with Forgiveness for E-Business Agents

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et al. 2011

International Journal of Agent Technologies and Systems

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Trust is a very important quality attribute of an e-service. In particular, the increasing complexity of the e-business environment requires the development of new computational models of trust and reputation for e-business agents. In this paper, the authors introduce a new reputation model for agents engaged in e-business transactions. The model enhances classic reputation models by the addition of forgiveness factor and the use of new sources of reputation information based on agents groups. The paper proposes an improvement of this model by employing the recent con-resistance concept. Finally, the authors show how the model can be used in an agent-based market environment where trusted buyer and seller agents meet, negotiate, and transact multi-issue e-business contracts. The system was implemented using JADE multi-agent platform and initially evaluated on a sample set of scenarios. The paper introduces the design and implementation of the agent-based system together with the experimental scenarios and results.

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Section: Related Workmentioning

confidence: 99%