Bayesian learning in bilateral multi-issue negotiation and its application in MAS-based electronic commerce

Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004

Volumn , Issue , 2004, Pages 437-440

  Li, Jian ^a   Cao, Yuan Da ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS AGENTS; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MULTI AGENT SYSTEMS;

BAYESIAN LEARNING; INFORMATION AGENTS; REINFORCEMENT LEARNING;

ELECTRONIC COMMERCE;

EID: 16244391785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Jian Li, Yuan-da Cao. On-Line Dynamic Reinforcement Learning in Bilateral Multi-issue Negotiation and its Application in MAS-based Electronic Commerce. Journal of Beijing Institute of Technology. Beijing, 2004.
2. Soo Von-Wun, Hung Chun-An. On-line incremental learning in bilateral multi-issue negotiation. The first International Joint Conference on Autonomous Agents and Multi-agent Systems, Bologna, Italy, 2002.
3. Zeng Dajun, Sycara Katia. Bayesian learning in negotiation. AAAI, 1996: 99-104.
4. T.standolm and N. Vulkan, Bargaining with Deallines, National Conference on Artificial Intelligence (AAAI). Feb 1.1999.
5. P. Faratin, C. Sierra, and N. R. Jennings, Negotiation Decision Functions for Autonomous Agents, Int. Journal of robotics and Autonomous Systems, 24 (3-4) 159-182, 1998.