Modeling of agent negotiation via fuzzy constraint processing

Lai, K. Robert; Lin, Menq-Wen

doi:10.1109/fuzz.2001.1007344

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…Thus, the proposed framework explores every fuzzy constraint that represents students' cognition and preferences to aggregate entire assessment effectively, lower the difficulty of representation and reduce individual subjectivity. Fuzzy constraints can not only provide the ability to represent and reason the uncertain information [22], but also build a unified model to define the assessment of each student and the entire relationships among students.…”

Section: Assessment Representationmentioning

confidence: 99%

“…However, most conventional constraint systems are unable to capture the meaning of imprecise concepts. Fuzzy constraint network (FCN) [22], as an extension of fuzzy sets [23] and constraint network, can be used to provide a conceptual framework for representing the meaning of imprecise knowledge. A generic fuzzy constraint associated with a set of assessment criteria is also a fuzzy set, and it is interpreted as the joint possibility distribution for the issues involved in the constraint.…”

Section: Assessment Representationmentioning

confidence: 99%

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Enrichment of Peer Assessment with Agent Negotiation

Lan

Graf

Lai

et al. 2011

IEEE Trans. Learning Technol.

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This study presents a conceptual framework for providing intelligent supports through agent negotiation and fuzzy constraints to enhance the effectiveness of peer assessment. By using fuzzy constraints, it not only provides a flexible marking scheme to deal with the imprecision and uncertainty for the representation of assessment but also provides a computational framework to incorporate student's personal characteristics into the process for the reduction of assessment bias. Additionally, a fuzzy constraintbased negotiation mechanism is employed to coordinate the cognitive differences between students. Through iterative agent negotiation, students can reconcile the differences and reach an agreement on the assessment results. Thus, the proposed framework allows students to provide more detailed, informed, and less biased assessments for their peers' work. To demonstrate the usefulness and effectiveness of the proposed approach, a negotiation-based peer assessment system, NePAS, has been built and used in classroom. Experimental results suggested that students were more willing to accept the assessment results and able to acquire more useful information to reflect upon and revise their work. Instructors can also observe students' participation and performance to appropriately adjust instructional strategies.

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Section: Assessment Representationmentioning

confidence: 99%

Section: Assessment Representationmentioning

confidence: 99%

Enrichment of Peer Assessment with Agent Negotiation

Lan

Graf

Lai

et al. 2011

IEEE Trans. Learning Technol.

View full text Add to dashboard Cite

show abstract

“…In agent negotiation [8], research works focuses on developing automated reasoning mechanisms to simulate human traders. For example, in [8,10], fuzzy reasoning with knowledge representing is used for modeling human behavior. In [9], a negotiation protocol based on the cooperative game theory was proposed for power markets.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Design of an Agent Searching Algorithm for e-Marketplaces

et al. 2004

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Abstract.Recently, agent techniques in electronic marketplaces (e-marketplaces) bring B-to-B trading into a new era. However, not much analysis on the behavior of agents has been reported. In this paper, based on the ant algorithm in network routing, we introduce a jumping (searching) model for agents in an e-marketplace network. However, we should be aware that if there are too many agents in the e-marketplace network, they will use up all communication bandwidth and computing resource. It is inevitable to investigate the behavior of agents, such as agent population. Based on the existing results in the ant algorithm in network routing, we present the behavior of agents in an e-marketplace network. Hence, we can control the agent population by setting the appropriate agent generation rate.

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Modeling of agent negotiation via fuzzy constraint processing

Cited by 2 publications

References 4 publications

Enrichment of Peer Assessment with Agent Negotiation

Enrichment of Peer Assessment with Agent Negotiation

Analysis and Design of an Agent Searching Algorithm for e-Marketplaces

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