Effective bidding and deal identification for negotiations in highly nonlinear scenarios

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Volumn 2, Issue , 2009, Pages 910-917

  Marsa Maestre, Ivan ^a   Lopez Carmona, Miguel A ^a   Velasco, Juan R ^a   De La Hoz, Enrique ^a  

^a UNIVERSITY OF ALCALÁ   (Spain)

Author keywords

Highly nonlinear utility spaces; Multi agent systems; Multi issue negotiation

Indexed keywords

AUTONOMOUS AGENTS; ITERATIVE METHODS; SIMULATED ANNEALING;

HIGHLY-NONLINEAR UTILITY SPACES; IDENTIFICATION PROCESS; MULTI-ISSUE NEGOTIATION; NEGOTIATION MECHANISM; NEGOTIATION PROTOCOL; PREFERENCE MODELING; PROBABILISTIC SEARCH; UTILITY FUNCTIONS;

MULTI AGENT SYSTEMS;

EID: 84899795575     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. M. Bayati, D. Shah, and M. Sharma. Max-product for maximum weight matching: Convergence, correctness, and lp duality. IEEE Transactions on Information Theory, 54(3): 1241-1251, 2008.
2. Y. Chevaleyre, U. Endriss, S. Estivie, and N. Maudet. Multiagent resource allocation with k-additive utility functions. In Proceedings of the DIMACS-LAMSADE Workshop on Computer Science and Decision Theory, pages 83-100, 2004.
3. P. Faratin, C. Sierra, and N. Jennings. Using similarity criteria to make negotiation trade-offs. In Proceedings of the 4 th International Conference on Multi-Agent Systems, pages 119-126, 2000.
4. V. U. Gnanasekaran. Improved opportunity cost algorithm for carrier selection in combinatorial auctions. Master's thesis, Louisiana State University, 2004.
5. K. Hindriks, C. M. Jonkcr, and D. Tykhonov. Eliminating interdepcndencies between issues for multi-issue negotiation. In Cooperative Information Agents X, volume 4149 of Lecture Notes in Computer Science, pages 301-316, 2006.
6. G. Hohncr, J. Rich, E. Ng, G. Reid, A. J. Davenport, J. R. Kalagnanam, H. S. Lee, and C. An. Combinatorial and quantity-discount procurement auctions benefit mars, incorporated and its suppliers. Interfaces, 33(1):23-35, 2003.
7. T. Ito, M. Klein, and H. Hattori. A multi-issue negotiation protocol among agents with nonlinear utility functions. Multiagent and Grid Systems, 4(1):67-83.
8. T. Ito, M. Klein, and H. Hattori. Multi-issue negotiation protocol for agents: Exploring nonlinear utility spaces. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI07), pages 1347-1352, 2007.
9. M. Klein, P. Faratin, H. Sayama, and Y. Bar-Yam. Protocols for negotiating complex contracts. IEEE Intelligent Systems, 18(6):32-38, 2003.
10. V. Kumar and L. Kanal. A general branch-and-bound formulations for understanding and synthesizing and/or tree search procedures. Artificial Intelligence, 21:179-198, 1983.
11. M. A. Lopez-Carmona and J. R. Velasco. An expressive approach to fuzzy constraint based agent purchase negotiation. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS06), 2006.
12. M. A. Lopez-Carmona, J. R. Velasco, and Marsa-Maestre. The agents' attitudes in fuzzy constraint based automated purchase negotiations. In Multi-Agent Systems and Applications V, volume 4696/2007 of Lecture Notes in Artificial Intelligence, pages 246-255. Springer, 2007.
13. I. Marsa-Maestre, M. A. Lopez-Carmona, and J. R. Velasco. Improving trade-offs in bilateral negotiations under complete and incomplete information settings. In Proceedings of the Pacific Rim International Conference on Multi-Agents, volume 5357 of Lecture Notes in Artificial Intelligence, pages 275-286, 2008.
14. B. L. Miller and D. E. Goldberg. Genetic algorithms, tournament selection, and the effects of noise. Complex Systems, 9(3):193-212, 1995.
15. N. Nisan. Bidding languages for combinatorial auctions, chapter 9. MIT Press, 2006.
16. A. Schrijver. Theory of Linear and Integer Programming 1998. John Wiley and Sons, 1998.