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Proceedings ArticleDOI

An Extended Unified Negotiation Model for E-commerce Systems

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TLDR
This paper is proposed an extended model from the previous research that aims to realize win-win negotiation strategy in multilateral negotiation, and takes account of each otherpsilas preferences for increasing optimal outcomes.
Abstract
In the previous researches, the strategies for multilateral negotiation are simple methods that bring own proposal close to opponentpsilas proposal. However, in multilateral negotiation, it is required to reflect each otherpsilas preferences for increasing optimal outcomes. This strategy is called win-win strategy. In order to realize win-win negotiation strategy, we should consider two points. The first point is to take account of each otherpsilas preferences. Considering each otherpsilas preferences enables to increase mutual benefits. The second point is a concession strategy to opponents. The difference of each otherpsilas concession strategy causes imbalance of their benefits. For example, when an agent makes concession largely and an opponent makes little concession at the beginning of the negotiation, the agent might make a loss. The solution of this problem is that the agents acquire the concession strategy that can respond to various opponents. This paper is proposed an extended model from our previous research.

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Citations
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Journal ArticleDOI

E-Negotiation System Based on Intelligent Agents in B2C E-Commerce

TL;DR: A framework of intelligent agent based interactive recommendation and automated negotiation system in B2C e-commerce is proposed and it is expected that the negotiation time and transaction cost are reduced.
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Multi agent based interactive recommendation and automated negotiation system in E-commerce

TL;DR: This paper presents a multi agent based hybrid system that is using multi criteria decision-making and automated negotiation.
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Multi Agent based Hybrid E-negotiation System in E-commerce

TL;DR: This paper presents a multi agent based hybrid system that is using multi criteria decision-making and electronic negotiation for multi-party electronic negotiation.
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Neural Network and GA based Intelligent B2B Negotiation System

TL;DR: A two phase system is proposed that helps in appropriate web service discovery and service analysis and finally provides the user with a set of workflows that are appropriate for the current user.
Proceedings ArticleDOI

Formal negotiation model for automated agents in e-commerce systems

TL;DR: In this article, the authors proposed a negotiation model for automated agents based on a negotiation problem and a negotiation process for information gathering, problem structuring and analysis, and interpretation of offers.
References
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Book ChapterDOI

A Framework for Argumentation-Based Negotiation

TL;DR: A general framework for negotiation in which agents exchange proposals backed by arguments which summarise the reasons why the proposals should be accepted is described.
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Agent-oriented technology in support of e-business

TL;DR: Intelligent business agents are the next higher level of abstraction in model-based solutions to business-to-business e-commerce applications and can help address serious technological challenges such as concerns about effective searching, security and privacy, and effective use of interoperability between diverse business processes and diverse information required to achieve tele-cooperation and global e- commerce.
Proceedings ArticleDOI

Multi-issue negotiation under time constraints

TL;DR: A new model for multi-issue negotiation under time constraints in an incomplete information setting is presented, in which the order in which issues are bargained over and agreements are reached is determined endogenously as part of the bargaining equilibrium.
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