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On optimal outcomes of negotiations over resources
Source International Conference on Autonomous Agents archive
Proceedings of the second international joint conference on Autonomous agents and multiagent systems table of contents
Melbourne, Australia
SESSION: Distributed constraint satisfaction/optimization table of contents
Pages: 177 - 184  
Year of Publication: 2003
ISBN:1-58113-683-8
Authors
Ulrich Endriss  Imperial College London
Nicolas Maudet  Imperial College London
Fariba Sadri  Imperial College London
Francesca Toni  Imperial College London
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 10
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ABSTRACT

We analyse scenarios in which self-interested agents negotiate with each other in order to agree on deals to exchange resources. We consider two variants of the framework, one where agents can use money to compensate other agents for disadvantageous deals, and one where this is not possible. In both cases, we analyse what types of deals are necessary and sufficient to guarantee an optimal outcome of negotiation. To assess whether a given allocation of resources should be considered optimal we borrow two concepts from welfare economics: maximal social welfare in the case of the framework with money and Pareto optimality in the case of the framework without money. We also show how conditions for optimal outcomes can change depending on properties of the utility functions used by agents to represent the values they ascribe to certain sets of resources.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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U. Endriss, N. Maudet, F. Sadri, and F. Toni. Resource Allocation in Egalitarian Agent Societies. In Secondes Journées Francophones sur les Modèles Formels d'Interaction (MFI-2003), 2003. To appear.
 
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CITED BY  10
 
 
 
 
 
 
 

Collaborative Colleagues:
Ulrich Endriss: colleagues
Nicolas Maudet: colleagues
Fariba Sadri: colleagues
Francesca Toni: colleagues