Publication: Fair payoff distribution in multi-agent systems under Pareto optimality
dc.contributor.author | Khamket, Thananchai | |
dc.contributor.author | Sombattheera, Chattrakul | |
dc.date.accessioned | 2023-12-16T10:56:51Z | |
dc.date.available | 2023-12-16T10:56:51Z | |
dc.date.issued | 2017 | |
dc.date.issuedBE | 2560 | |
dc.description.abstract | This 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.doi | 10.1109/INCIT.2017.8257861 | |
dc.identifier.uri | https://harrt.in.th/handle/123456789/8513 | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.publisher.place | Nakhonpathom | |
dc.subject | การกระจายส่วนแบ่ง | |
dc.subject | เอเจนต์ | |
dc.subject | การรวมกลุ่ม | |
dc.subject | Shapley Value | |
dc.subject | Coalition Formation | |
dc.subject | Service Composition | |
dc.subject | Fair Payoff Distribution | |
dc.subject.isced | 0322 บรรณารักษ์, สารสนเทศ และการศึกษาจดหมายเหตุ | |
dc.subject.oecd | 5.8 นิเทศศาสตร์และสื่อสารมวลชน | |
dc.title | Fair payoff distribution in multi-agent systems under Pareto optimality | |
dc.type | เอกสารตีพิมพ์ในการประชุม (Conference Proceedings) | |
dspace.entity.type | Publication | |
harrt.researchArea | สารสนเทศศาสตร์ | |
harrt.researchGroup | บรรณารักษศาสตร์และสารสนเทศศาสตร์ | |
harrt.researchTheme.1 | Data Science | |
harrt.researchTheme.2 | Informatics | |
mods.location.url | https://ieeexplore.ieee.org/document/8257861 | |
oaire.citation.title | 2017 2nd International Conference on Information Technology (INCIT) | |
oairecerif.author.affiliation | มหาวิทยาลัยมหาสารคาม. คณะวิทยาการสารสนเทศ. หน่วยวิจัยสารสนเทศเชิงประยุกต์ | |
oairecerif.event.name | 2017 2nd International Conference on Information Technology (INCIT) |