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A survey of automated negotiation: Human factor, learning, and application

文献类型：期刊论文

作者Luo, Xudong2,3,4; Li, Yanling2; Huang, Qiaojuan1; Zhan, Jieyu5
刊名COMPUTER SCIENCE REVIEW
出版日期2024-11-01
卷号54页码:39
关键词Automated negotiation Artificial intelligence Electronic commerce Intelligent agent Fuzzy logic and constraint Machine learning Human-computer interaction
ISSN号1574-0137
DOI10.1016/j.cosrev.2024.100683
英文摘要The burgeoning field of automated negotiation systems represents a transformative approach to resolving conflicts and allocating resources with enhanced efficiency. This paper presents a thorough survey of this discipline, emphasising the implications of human factors, the application of machine learning techniques, and the real-world deployments of these systems. In traditional manual negotiation, various challenges emerge, including limited negotiation skills, power asymmetries, personality disparities, and cultural influences. Automated negotiation systems can offer solutions to these challenges through their round-the-clock availability, the ability to negotiate without emotional bias, efficient information access, and seamless integration of cultural contexts. This comprehensive survey delves into the intricacies of human-computer negotiation, shedding light on the impact of emotional cues, cultural diversity, and the subtleties of language. Furthermore, the study reviews the incorporation of machine learning models that facilitate the adaptation of negotiation strategies. The paper also discusses the application of fuzzy set theory and fuzzy constraint methods within the scope of automated negotiation, providing a valuable addition to the existing literature. Real-world deployment of these systems in domains e.g., e-commerce, conflict resolution, and multi-agent systems is also examined. By providing a broad overview of automated negotiation, this survey acknowledges the vital role of human factors in negotiation processes, underscores the value of intelligent and adaptive negotiation techniques and offers valuable insights into the practical applications of these systems in various real-world contexts.
资助项目National Natural Science Foundation of China[61762016] ; Middle-aged and Young Teachers' Basic Ability Promotion Project of Guangxi[2021KY0067] ; Research Fund of Guangxi Key Lab of Multi-source Information Mining Security[24-A-01-01]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001328040800001
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/39557]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Luo, Xudong; Li, Yanling
作者单位1.Univ Chinese Acad Sci, Inst Comp Technol, Beijing 100049, Peoples R China
2.Guangxi Normal Univ, Sch Comp Sci & Engn, Guilin 541004, Peoples R China
3.Guangxi Normal Univ, Key Lab Educ Blockchain & Intelligent Technol, Minist Educ, Guilin 541004, Peoples R China
4.Guangxi Normal Univ, Guangxi Key Lab Multisource Informat Min, Guilin 541004, Peoples R China
5.South China Normal Univ, Sch Comp Sci, Guangzhou 510631, Peoples R China
推荐引用方式
GB/T 7714		 Luo, Xudong,Li, Yanling,Huang, Qiaojuan,et al. A survey of automated negotiation: Human factor, learning, and application[J]. COMPUTER SCIENCE REVIEW,2024,54:39.
APA Luo, Xudong,Li, Yanling,Huang, Qiaojuan,&Zhan, Jieyu.(2024).A survey of automated negotiation: Human factor, learning, and application.COMPUTER SCIENCE REVIEW,54,39.
MLA Luo, Xudong,et al."A survey of automated negotiation: Human factor, learning, and application".COMPUTER SCIENCE REVIEW 54(2024):39.

入库方式： OAI收割

来源：计算技术研究所

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