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Estimation of the buyer's contract space incorporating learning from experience techniques to the seller's rationale in e-commerce context

机译：结合电子商务经验中的经验技术到卖方的理论基础，对买方的合同空间进行估算

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摘要

Various state-of-the-art technologies are necessary to enhance the efficiency and increase the interest for e-commerce transactions. Mobile agents are one of the means that may enhance the intelligence and improve the effectiveness of systems in the e-marketplace. This paper aims to present the basic elements of the designed dynamic multilateral negotiation model and strategies that do not require a complicated rationale on behalf of the buyer agents. It focuses on the enhancement of the seller's reasoning component by incorporating to the designed negotiation strategies a novel mechanism for the estimation of the mutually acceptable contract region by exploiting relative market data combined with knowledge acquired from previous experience. This technique is used to extend the functionality of autonomous agents, so that they reach to an agreement faster aiming to maximise their owner's utility. The framework considers both contract and decision issues, is based on real market conditions, and has been empirically evaluated.
机译：为了提高效率并增加对电子商务交易的兴趣，必须使用各种最新技术。移动代理是可以增强智能并提高电子市场中系统有效性的手段之一。本文旨在介绍所设计的动态多边谈判模型和策略的基本要素，它们不需要代表买方代理人的复杂理由。它着重于通过将新颖的机制结合到设计的谈判策略中来增强卖方的推理成分，该机制通过利用相对市场数据以及从先前经验中获得的知识来估计相互可接受的合同区域。此技术用于扩展自治代理的功能，以便它们更快地达成协议，以最大化其所有者的效用。该框架同时考虑合同和决策问题，基于真实的市场条件，并进行了经验评估。

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