Learning opponent's beliefs via fuzzy constraint-directed approach to make effective agent negotiation

Applied Intelligence

Volumn 33, Issue 2, 2010, Pages 232-246

  Lai, K Robert ^a   Lin, Menq Wen ^b   Yu, Ting Jung ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

^b CHING YUN UNIVERSITY   (Taiwan)

Author keywords

Agent negotiation; Fuzzy constraints; Intelligence systems; Multi agent systems; Opponent modeling

Indexed keywords

AGENT NEGOTIATIONS; BEHAVIOR PATTERNS; FUZZY PROBABILITY; FUZZY-CONSTRAINT; INTELLIGENCE SYSTEMS; INTERACTION METHODS; NEGOTIATION PROCESS; OPPONENT MODELING; SPEED-UPS;

MULTI AGENT SYSTEMS;

EID: 77956723270     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-009-0162-2     Document Type: Article

References (29)

1. Barbuceanu M, Lo WKA (2000) Multi-attribute utility theoretic negotiation architecture for electronic commerce. In: Proceedings of the fourth international conference on autonomous agents, pp 239-246
2. M Bowling M Veloso 2002 Multiagent learning using a variable learning rate Artif Intell 33 215 250 10.1016/S0004-3702(02)00121-2 1895819 (Pubitemid 34232184)
3. KY Cai 2001 Robustness of fuzzy reasoning and δ-equalities of fuzzy sets IEEE Trans Fuzzy Syst 9 5 138 150
4. D Carmel S Markovitch 1998 Model-based learning of interaction strategies in multi-agent systems J Exp Theor Artif Intell 10 309 332 1053.68591 10.1080/095281398146789
5. D Dubois P Fortemps 1999 Theory and methodology computing improved optimal solutions to max-min flexible constrain satisfaction Eur J Oper Res 118 95 126 0945.90087 10.1016/S0377-2217(98)00307-5
6. Dubois D, Fragier H, Prade H (1994) Propagation and satisfaction of flexible constraints. In: Fuzzy sets, neural networks and soft computing. Van Nostrand Reinhold, New York, pp 166-187
7. D Dubois H Fragier P Fortemps 2003 Fuzzy scheduling: modeling flexible constraints vs coping with incomplete knowledge Eur J Oper Res 147 231 252 1037.90028 10.1016/S0377-2217(02)00558-1
8. PS Eaton EC Freuder RJ Wallace 1998 Constraints and agents: confronting ignorance AI Mag 19 2 51 65
9. P Faratin C Sierra NR Jennings 2002 Using similarity criteria to make trade-offs in automated negotiation Artif Intell 142 2 205 237 10.1016/S0004-3702(02)00290-4 1948205 (Pubitemid 35282301)
10. J Hu MP Weliman 2001 Learning about other agents in a dynamic multiagent system J Cogn Syst Res 2 67 79 10.1016/S1389-0417(01)00016-X
11. Kersten GE, Lo G (2001) Negotiation support systems and software agents in e-business negotiations. In: The first international conference on electronic business, Hong Kong, 19-21 December 2001
12. Kowalczyk R, Bui V (2001) On constraint-based reasoning in e-negotiation agents. In: Agent-mediated electronic commerce III, current issues in agent-based electronic commerce systems, pp 31-46
13. Lai R (1992) Fuzzy constraint processing. PhD Thesis, NCSU, Raleigh, NC
14. KR Lai MW Lin 2004 Modeling agent negotiation via fuzzy constraints in e-business Comput Intell 20 624 642 1050.81079 10.1111/j.0824-7935.2004.00257.x 2113374
15. KR Lai MW Lin TJ Yu 2005 Fuzzy constraint-based agent negotiation J Comput Sci Technol 20 3 319 330 10.1007/s11390-005-0319-3 (Pubitemid 41218010)
16. Liu SH, Tian YT (2002) Multi-agent learning methods in an uncertain environment. In: Proceedings of the international conference on machine learning and cybernetics, vol 2, pp 650-654
17. Luo X, Leung HF, Lee JHM (2000) A multi-agent framework for meeting scheduling using fuzzy constraints. In: Proceedings of the fourth international conference on multiagent systems, pp 409-410
18. X Luo NR Jennings N Shadbolt HF Leung JHM Lee 2003 A fuzzy constraint based model for bilateral multi-issue negotiations in semi-competitive environments Artif Intell 148 53 102 1082.91518 10.1016/S0004-3702(03)00041-9 2016452
19. Markovitch S (2003) Learning and exploiting relative weaknesses of opponent agents. In: NWO-SIKS workshop on opponent models in games, IKAT, Universiteit Maastricht, 4 Dec 2003
20. Oliver JR (1996) On artificial agents for negotiation in electronic commerce. In: Proceedings of the 29th annual Hawaii international conference on system sciences, pp 337-346
21. Prade J, Moura-Pires H (2000) Specifying fuzzy constraints interactions without using aggregation operators. In: Proceedings of the ninth IEEE international conference on fuzzy systems, vol 1, pp 228-233
22. Pruitt DG (1981) Negotiation behavior. Academic Press, New York
23. Z Ren CJ Anumba OO Ugwu 2002 Negotiation in a multi-agent system for construction claims negotiation Appl Artif Intell 16 359 394 10.1080/08839510290030273 (Pubitemid 34648226)
24. Rosenschein JS, Zlotkin G (1994) Rules of encounter: designing conventions for automated negotiation among computers. MIT Press, Cambridge
25. Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York
26. Sathi A, Fox M (1989) Constraint-directed negotiation of resource reallocation. In: Gasser L, Huhns M (eds) Distributed artificial intelligence, vol 2. Morgan Kaufmann, San Mateo, pp 163-195
27. Sycara K (1989) Multi-agent compromise via negotiation. In: Gasser L, Huhns M (eds) Distributed artificial intelligence, vol 2. Morgan Kaufmann, San Mateo, pp 119-139
28. LA Zadeh 1978 Fuzzy sets as a basis for a theory of possibility Fuzzy Sets and Syst 1 3 28 0377.04002 10.1016/0165-0114(78)90029-5 480045
29. D Zeng K Sycara 1998 Bayesian learning in negotiation Int J Human-Comput Stud 48 1 125 141 10.1006/ijhc.1997.0164