Contract net protocol using fuzzy case based reasoning

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3614, Issue PART II, 2005, Pages 941-944

  Wan, Wunan ^a   Wang, Xiaojing ^a   Liu, Yang ^a  

^a CHENGDU INSTITUTE OF COMPUTER APPLICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; FUZZY SETS; INFORMATION TECHNOLOGY; PROBLEM SOLVING;

COMMUNICATION AGENTS; COMMUNICATION LOAD REDUCTION METHODS; CONTRACT NET PROTOCOLS (CNP); FUZZY CASE BASED REASONING (FCBR);

MULTI AGENT SYSTEMS;

EID: 26944455175     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Reid G,Smith.: The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver. IEEE Tran.on Computers.29 (1980) 1104-1113
2. Sandholm, T.,Lesser,V.:Issues in automated negotiation and electronic commerce: Extending the contract net framework. AAAI Press, USA.(1995)328-335
3. T. Ohko, K. Hiraki.:LEMMING:A Learning system for Multi Robot Environments. IEEE/RSJ Conference. Japan July. (1993) 26-30
4. Umesh Deshpande.: Performance Improvement of the Contract Net Protocol Using Instance Based Learning. IWDC 2003, LNCS 2918(2003)290-299
5. Kraslaw skia, Pedrycz W.: Fuzzy neural network as instance generator for case-based reasoning system. Neural Computing Applications. 8 (1999) 106-113
6. Azuaje F et al.: Discovering relevance know ledge in data: a growing cell structure approach. IEEE Tran, on Systems, Man and Cybernetics,June.30 (2000) 448-460
7. Minton S.: Qualitative results concerning the utility of explanation based learning. Artificial Intelligence.42 (1990)363-391