Publication:
Fair payoff distribution in multi-agent systems under Pareto optimality

dc.contributor.authorKhamket, Thananchai
dc.contributor.authorSombattheera, Chattrakul
dc.date.accessioned2023-12-16T10:56:51Z
dc.date.available2023-12-16T10:56:51Z
dc.date.issued2017
dc.date.issuedBE2560
dc.description.abstractThis research proposes a set of algorithms to compute fair payoff distribution among agents in service composition domain based on their contribution. In our system; intelligent agents; representing service providers; negotiate among themselves and form composite services to satisfy multiple-objective requirements. The quality of service for each objective is measured in term of degree of satisfaction. The overall quality of service is achieved by maximizing requesters satisfaction on all objectives according to Pareto optimality. We then deploy Shapley Value concept for fair payoff distribution among agents based on their contributions to the requesters optimal satisfaction. Since the computational complexity for Shapley Value is exponential; we are interested in investigating how well the algorithms for computing payoff perform. We found that on a typical computer; the algorithm can cope with around 20 agents with reasonable computational time.
dc.identifier.doi10.1109/INCIT.2017.8257861
dc.identifier.urihttps://harrt.in.th/handle/123456789/8513
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeNakhonpathom
dc.subjectการกระจายส่วนแบ่ง
dc.subjectเอเจนต์
dc.subjectการรวมกลุ่ม
dc.subjectShapley Value
dc.subjectCoalition Formation
dc.subjectService Composition
dc.subjectFair Payoff Distribution
dc.subject.isced0322 บรรณารักษ์, สารสนเทศ และการศึกษาจดหมายเหตุ
dc.subject.oecd5.8 นิเทศศาสตร์และสื่อสารมวลชน
dc.titleFair payoff distribution in multi-agent systems under Pareto optimality
dc.typeเอกสารตีพิมพ์ในการประชุม (Conference Proceedings)
dspace.entity.typePublication
harrt.researchAreaสารสนเทศศาสตร์
harrt.researchGroupบรรณารักษศาสตร์และสารสนเทศศาสตร์
harrt.researchTheme.1Data Science
harrt.researchTheme.2Informatics
mods.location.urlhttps://ieeexplore.ieee.org/document/8257861
oaire.citation.title2017 2nd International Conference on Information Technology (INCIT)
oairecerif.author.affiliationมหาวิทยาลัยมหาสารคาม. คณะวิทยาการสารสนเทศ. หน่วยวิจัยสารสนเทศเชิงประยุกต์
oairecerif.event.name2017 2nd International Conference on Information Technology (INCIT)
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