Using Case-Based Reasoning and Principled Negotiation to provide decision support for dispute resolution

Using Case-Based Reasoning and Principled Negotiation to provide decision support for dispute resolution
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DOI:
10.1007/s10115-012-0563-0
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发表时间:
2013-09-01
影响因子:
2.7
通讯作者:
Neves, Jose
Neves, Jose
中科院分区:
计算机科学4区
文献类型:
--
作者:
Carneiro, Davide;Novais, Paulo;Neves, Jose

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随着信息技术在商业竞技场中的日益广泛应用,迫切需要找到传统争议解决办法的替代办法。在开发新的网上争议解决平台的过程中,应考虑人工智能等领域的新工具,以使结扎过程更简单、更快速,并符合新的虚拟环境。在这项工作中,我们描述了UMCourt,一个围绕人工智能研究的两个子领域建立的项目:多智能体系统和基于案例的推理,旨在促进ODR工具的开发。然后,利用这些信息来实现若干目标,从根据对过去类似争端的观察提出解决新争端的建议,到改进可能随后的谈判和调解进程。这项工作的主要目标是开发能够提高争议解决程序有效性的自主工具,即增加当事方可获得的有意义的信息量。
The growing use of Information Technology in the commercial arena leads to an urgent need to find alternatives to traditional dispute resolution. New tools from fields such as artificial intelligence (AI) should be considered in the process of developing novel online dispute resolution (ODR) platforms, in order to make the ligation process simpler, faster and conform with the new virtual environments. In this work, we describe UMCourt, a project built around two sub-fields of AI research: Multi-agent Systems and Case-Based Reasoning, aimed at fostering the development of tools for ODR. This is then used to accomplish several objectives, from suggesting solutions to new disputes based on the observation of past similar disputes, to the improvement of the negotiation and mediation processes that may follow. The main objective of this work is to develop autonomous tools that can increase the effectiveness of the dispute resolution processes, namely by increasing the amount of meaningful information that is available for the parties.