DocumentCode :
1813804
Title :
Negotiation Model Based on Neural Network and Case-based Reasoning
Author :
Dong, Shaobin
Author_Institution :
Huiyin Inst. of Technol., Huaian, China
fYear :
2010
fDate :
29-31 July 2010
Firstpage :
163
Lastpage :
166
Abstract :
Electronic negotiations are becoming an important research subject in the area of electronic commerce. Successful experience of the human traditional negotiation is the valuable learning resources of automatic negotiation. Automated negotiation model can learn from past experience in negotiation, reason, and give a reasonable choice of negotiations on a new strategy. The ANN and the CBR are two approaches of Artificial Intelligence that use similarity in an extensive way. Case-based reasoning and neural network have a natural link between the two. So it is put forward model of the negotiations based on neural network and case-based reasoning. It can lead that negotiation can be achieved very good results.
Keywords :
case-based reasoning; neural nets; software agents; artificial intelligence; automatic negotiation; case based reasoning; electronic commerce; electronic negotiations; negotiation model; neural network; Artificial intelligence; Artificial neural networks; Cognition; Consumer electronics; Electronic commerce; Neurons; Proposals; ANN; CBR; Negotiation Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Commerce and Security (ISECS), 2010 Third International Symposium on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-8231-3
Electronic_ISBN :
978-1-4244-8231-3
Type :
conf
DOI :
10.1109/ISECS.2010.44
Filename :
5557411
Link To Document :
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