Allocating Goods on a Graph to Eliminate Envy
dc.contributor.author | Chevaleyre, Yann | |
dc.contributor.author | Endriss, Ulle | |
dc.contributor.author | Maudet, Nicolas
HAL ID: 4473 ORCID: 0000-0002-4232-069X | |
dc.date.accessioned | 2011-02-07T08:26:25Z | |
dc.date.available | 2011-02-07T08:26:25Z | |
dc.date.issued | 2007 | |
dc.identifier.uri | https://basepub.dauphine.fr/handle/123456789/5659 | |
dc.language.iso | en | en |
dc.subject | envy-freeness | en |
dc.subject | allocation of resources | en |
dc.subject | negotiation | en |
dc.subject | Multiagent systems | en |
dc.subject.ddc | 006.3 | en |
dc.title | Allocating Goods on a Graph to Eliminate Envy | en |
dc.type | Communication / Conférence | |
dc.description.abstracten | We introduce a distributed negotiation framework for multiagent resource allocation where interactions between agents are limited by a graph defining a negotiation topology. A group of agents may only contract a deal if that group is fully connected according to the negotiation topology. An important criterion for assessing the quality of an allocation of resources, in terms of fairness, is envy-freeness: an agent is said to envy another agent if it would prefer to swap places with that other agent. We analyse under what circumstances a sequence of deals respecting the negotiation topology may be expected to converge to a state where no agent envies any of the agents it is directly connected to. We also analyse the computational complexity of a related decision problem, namely the problem of checking whether a given negotiation state admits any deal that would both be beneficial to every agent involved and reduce envy in the agent society. | en |
dc.identifier.citationpages | 700–705 | en |
dc.relation.ispartoftitle | Proceedings of the 22nd Conference on Artificial Intelligence | en |
dc.relation.ispartofeditor | Holte, Robert C. | |
dc.relation.ispartofeditor | Howe, Adele | |
dc.relation.ispartofpublname | AAAI Press | en |
dc.relation.ispartofdate | 2007 | |
dc.description.sponsorshipprivate | oui | en |
dc.subject.ddclabel | Intelligence artificielle | en |
dc.relation.ispartofisbn | 978-1-57735-323-2 | en |
dc.relation.conftitle | 22nd Conference on Artificial Intelligence (AAAI-2007) | en |
dc.relation.confdate | 2007-07 | |
dc.relation.confcity | Vancouver | en |
dc.relation.confcountry | Canada | en |