Title :
Negotiation Model Based on Neural Network and Case-based Reasoning
Author_Institution :
Huiyin Inst. of Technol., Huaian, China
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;
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
DOI :
10.1109/ISECS.2010.44