DocumentCode :
3315091
Title :
Architecture of Next Generation of E-Commerce with Fuzzy-GA-Based Negotiator Agents
Author :
Setayesh, Mahdi ; Alizadeh, Mohammad
Author_Institution :
Iran Univ. of Med. Sci., Tehran
fYear :
2007
fDate :
23-26 July 2007
Firstpage :
1
Lastpage :
6
Abstract :
Fox a multi-agent electronic negotiating environment to be successful, intelligent agents should be capable of adapting their negotiation strategies and tactics to achieve an agreement with optimized profit. This paper aims to present some findings from which negotiating intelligent agents in electronic commerce start negotiating using a simplified standard protocol in conjunction with a combined negotiation. Taking advantage of a new developed evolutionary algorithm, agents configure their negotiation strategies somehow they can get more profit. They can use fuzzy fairness function to have behavior with fairness or without fairness.
Keywords :
electronic commerce; fuzzy set theory; genetic algorithms; multi-agent systems; protocols; electronic commerce; evolutionary algorithm; fuzzy-GA-based negotiator agent; intelligent agent; multiagent electronic negotiating environment; simplified standard protocol; Biomedical informatics; Decision making; Electronic commerce; Equations; Evolutionary computation; Intelligent agent; Multiagent systems; Proposals; Protocols; Road transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
ISSN :
1098-7584
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2007.4295334
Filename :
4295334
Link To Document :
بازگشت