Multiagent-Based Two-Way Negotiation for Intelligent Hotel Reservation

被引：0

作者：

Zhang, Jinyu ^{[1
]}

Luo, Xuechun ^{[1
]}

Ruan, Weiwei ^{[1
]}

Li, Andi ^{[1
]}

Yan, Jiaqi ^{[2
]}

Wang, Huaiqing ^{[3
]}

机构：

[1] Nanjing Univ, Software Inst, Nanjing, Jiangsu, Peoples R China

[2] Nanjing Univ, Sch Informat Managnement, Nanjing, Jiangsu, Peoples R China

[3] Fabiao Intelligent Technol, Suzhou, Peoples R China

来源：

PROCEEDINGS OF THE 2018 IEEE 22ND INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN ((CSCWD)) | 2018年

基金：

中国国家自然科学基金;

关键词：

intelligent agents; agent collaboration; electronic commerce; two-way negotiation;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Multiagent-based system has been widely used in hotel reservations. However, they mainly use one-way negotiation for decisions that agents only represent travelers selecting from a list of hotels, while hotel providers cannot communicate with travelers. To address such problems, this paper proposes a Multiagent-Based Two-Way Negotiation for Hotel Reservation (MAB-TNHR) with three kinds of agents. Traditional tenant-dominant reservation is converted into a form of tendering to implement this two-way negotiation, which means that Landlord Agents can actively respond to the selection by sending their tenders to suitable tenants and bargain on the price with the Tenant Agent to pursue their interests. In this paper, rules used in the application and a case study are presented to illustrate the implementation of MAB-TNHR. Verification shows that the MAB-TNHR can meet intricate and dynamic reservation demands automatically without the participations of tenants and landlords.

引用

页码：600 / 605

页数：6

共 13 条

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