A systematic model of stable multilateral automated negotiation in e-market environment

Gao, Taiguang; Huang, Min; Wang, Qing; Yin, Mingqiang; Ching, Wai‐Ki; Lee, Loo Hay; Wang, Xingwei

doi:10.1016/j.engappai.2018.06.005

Cited by 13 publications

(28 citation statements)

References 49 publications

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“…A negotiation protocol is a set of rules that govern interactions, valid actions, and message sequences among advocate planners (Gao et al, 2018). In the present study, the negotiation protocol used in the context of the process described above consists of the following steps:…”

Section: The Negotiation Modelmentioning

confidence: 99%

An intelligent web-based spatial group decision support system to investigate the role of the opponents’ modeling in urban land use planning

Ghavami

Taleai²,

Arentze

2022

Land Use Policy

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Section: The Negotiation Modelmentioning

confidence: 99%

An intelligent web-based spatial group decision support system to investigate the role of the opponents’ modeling in urban land use planning

Ghavami

Taleai²,

Arentze

2022

Land Use Policy

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“…In the electronic market environment, Gao et al provided a stable multilateral automated negotiation system model and showed that this model can promote effective matching between the SAD sides. For the power purchase market [37], Kong et al proposed a SAD matching model for power retailers and buyers of cellular networks based on the two-sided matching theory, which solves the energy management problem of microgrid-connected cellular networks for the small-and medium-sized market of the sharing economy [38]. Xia et al constructed a two-sided matching model that promotes the maximization of the interests of buyers, sellers, and agents and improves the matching efficiency thereof.…”

Section: Two-sided Matchingmentioning

confidence: 99%

Multiattribute Supply and Demand Matching Decision Model for Online-Listed Rental Housing: An Empirical Study Based on Shanghai

Jiang-ying

Yan

et al. 2020

Discrete Dynamics in Nature and Society

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The mismatch between the supply and demand of online-listed rental housing (ORH) is an important factor restricting the operational efficiency of online rental service platforms. However, extant literature pays little attention to this problem. This study proposes an ORH multiattribute supply and demand matching decision model based on the perceived utility of matching both sides of this market. The model considers the multiattribute information of ORH, such as area, transportation, rent, room, and interior decoration, and quantifies their perceived utility values based on the theory of disappointment. Thereafter, we construct the matching decision model and verify it for feasibility by applying it to Shanghai’s ORH supply and demand information—our empirical case. The results show that this method can be applied to online rental housing platforms and meet the supply and demand matching requirements to the greatest extent. The constructed model takes into account the perceptions of both supply and demand parties, may promote the effective matching of ORH supply and demand, and bears theoretical implications for the improvement of rental housing matching in ORH platforms.

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“…In [34], the authors describe agents' negotiation by using JADE framework in e-commerce environment and consider how agents change their protocol and strategies by using dynamic loading of negotiation modules [34]. A model of stable multilateral automated negotiation based on JADE framework that helps the buyers and sellers to negotiate in e-commerce has been presented in [35]. A real-time application based on FIPA agent communication language and data distribution service (DDS) standards has been developed in [36].…”

Section: Related Workmentioning

confidence: 99%

Efficient Performative Actions for E-Commerce Agents

Qasim

Ameen

Aziz

et al. 2020

Applied Computer Systems

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The foundational features of multi-agent systems are communication and interaction with other agents. To achieve these features, agents have to transfer messages in the predefined format and semantics. The communication among these agents takes place with the help of ACL (Agent Communication Language). ACL is a predefined language for communication among agents that has been standardised by the FIPA (Foundation for Intelligent Physical Agent). FIPA-ACL defines different performatives for communication among the agents. These performatives are generic, and it becomes computationally expensive to use them for a specific domain like e-commerce. These performatives do not define the exact meaning of communication for any specific domain like e-commerce. In the present research, we introduced new performatives specifically for e-commerce domain. Our designed performatives are based on FIPA-ACL so that they can still support communication within diverse agent platforms. The proposed performatives are helpful in modelling e-commerce negotiation protocol applications using the paradigm of multi-agent systems for efficient communication. For exact semantic interpretation of the proposed performatives, we also performed formal modelling of these performatives using BNF. The primary objective of our research was to provide the negotiation facility to agents, working in an e-commerce domain, in a succinct way to reduce the number of negotiation messages, time consumption and network overhead on the platform. We used an e-commerce based bidding case study among agents to demonstrate the efficiency of our approach. The results showed that there was a lot of reduction in total time required for the bidding process.

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A systematic model of stable multilateral automated negotiation in e-market environment

Cited by 13 publications

References 49 publications

An intelligent web-based spatial group decision support system to investigate the role of the opponents’ modeling in urban land use planning

An intelligent web-based spatial group decision support system to investigate the role of the opponents’ modeling in urban land use planning

Multiattribute Supply and Demand Matching Decision Model for Online-Listed Rental Housing: An Empirical Study Based on Shanghai

Efficient Performative Actions for E-Commerce Agents

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