自动谈判及其基于模糊集的模型综述

doi:10.11896/jsjkx.190800129

Abstract

Abstract: Negotiation is a process in which two or more interested parties communicate with each other for an agreement,automated negotiation isto use artificial intelligence system to automate this process.This paper first discussed the significance of studying automated negotiation.At the national level,the research and development of such systems is consistent with the national AI development strategy of China.It can not only help people live a better life in the e-commerce era,but also reduce corruption by using computer systems instead of manual negotiation.Secondly,the deve-lopment of negotiation proceeds in game theory,management science and computer science were outlined.The Nobel laureate in economics,Nash,started the study of negotiation in the field of game theory.However,the biggest problem in such study is the assumption that all information of negotiating parties involved is essentially public,which is unrealistic.Therefore,researchers in management science focus on how to conduct manual negotiation when all information of all parties is not disclosed.In general,manual negotiation is inefficient and difficult,and often fails to achieve optimal results.As a result,computer scientists are trying to replace manual negotiate with madnines.At the beginning,they focused on the computer-to-computer automated negotiation.Now their focus is turning to computer-to-human automated negotiation.Finally,methods of using fuzzy logic and fuzzy constraints to develop intelligent agents for automated negotiation were summarised.This paper focused on the application of these two fuzzy methods in the automatic negotiation system and the practical application of fuzzy automatic negotiation system.

Key words: Artificial intelligence, Automated negotiation, Electronic commerce, Fuzzy constraint, Fuzzy logic, Intelligent agent, Machine learning

CLC Number:

TP18

LUO Xu-dong, HUANG Qiao-juan, ZHAN Jie-yu. A Survey of Automated Negotiation and Its Fuzzy Set Based Models[J].Computer Science, 2019, 46(12): 220-230.

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