基于影响仲裁决策的外在因素和内在因素的工程争议解决框架

K. Iyer, N. Chaphalkar, Smita K. Patil
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引用次数: 1

摘要

施工合同纠纷的发生是施工合同中的一个普遍现象,纠纷的发生不仅会造成工期和成本的超支,还会损害合同双方的关系。如果争端各方能够确定地预测争端的结果,他们更有可能在法庭外解决问题,从而避免与裁决有关的费用和恶化。建筑施工纠纷的结果受许多复杂而又相互关联的因素的影响。争议的解决主要以案件事实为依据,如合同条件;现场实际情况;在仲裁程序等期间提交的文件被称为内在因素。还可以观察到,虽然情况可能是相同的,但在不同的层次上却有不同的解释。这表明可能存在与仲裁员的特征和其他心理方面相关的其他因素,这些因素进一步被称为影响决策的外在因素。本文着重讨论了人工智能方法在工程施工纠纷结果预测中的可行性,并列举了各种外部因素。这样开发的工具将在一定程度上避免争端,并将减轻司法机构的压力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction Dispute Resolution Framework Based on Extrinsic And Intrinsic Factors Influencing Arbitral Decision Making
Occurrence of disputes is a common feature in construction contracts which result in time and cost overruns and further damages the relationships between the parties. If the parties to a dispute can predict the outcome of the dispute with some certainty, they are more likely to settle the matter out of court resulting in avoidance of expenses and aggravation associated with adjudication. The outcome of construction disputes are affected by a large number of complex and interrelated factors. Dispute settlement is mainly based on the facts of the case like conditions of the contracts; actual situations on site; documents presented during arbitral proceedings etc which are termed as intrinsic factors. It is also observed that though the case may be the same but it is interpreted differently at different levels. This suggests that there may be other factors related to the arbitrator’s characteristics and other psychology aspects further termed as extrinsic factor influencing decisions.. The paper focuses on the feasibility of the Artificial Intelligence approach in predicting the outcome of construction dispute and enlists the various extrinsic factors. The tool so developed would result in dispute avoidance to some extent and would reduce the pressure on judiciary.
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