首页> 外文会议>International Conference on Artificial Intelligence IC-AI'2001 Vol.2, Jun 25-28, 2001, Las Vegas, Nevada, USA >The Role of Defeasible Reasoning in the Modelling of Scientific Research Programmes
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The Role of Defeasible Reasoning in the Modelling of Scientific Research Programmes

机译:可推论推理在科学研究程序建模中的作用

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Classical studies in the theory of science concentrated on a logical analysis of scientific theories, with the unfortunate consequence of leaving aside many interesting epistemo-logical problems (the scientific discovery problem, or the representation of sociological and pragmatical drives, among others). In the 70's a new epistemological view emerged, which suggested a departure from logical positivism. However, either the formalisms were, still close to standard logic, or the presentations were too asystematic, and the formalization of scientific procedure was still obscure. In this paper we present a defeasible reasoning system that is an adequate model for representing scientific theories. Scientific reasoning is regarded mostly as a design process. The system incorporates incomplete, or uncertain evidence about a given situation as information provided by more or less trustable sources, to extend the reasoning context. This context is then used as a basis for a defeasible reasoning process. Then we show how our system can provide an adequate basis for a, scientific reasoning model. In particular, we concentrate on the epistemology of the scientific research programmes.
机译:科学理论中的古典研究集中于对科学理论的逻辑分析,不幸的结果是抛开了许多有趣的认识论问题(科学发现问题,或社会学和实用主义驱动力的表述)。在70年代,出现了一种新的认识论观点,这表明它脱离了逻辑实证主义。但是,要么形式主义仍然,仍接近标准逻辑,要么表述过于系统化,科学程序的形式化仍然晦涩难懂。在本文中,我们提出了一个可行的推理系统,该系统是代表科学理论的适当模型。科学推理主要被视为设计过程。该系统将有关给定情况的不完整或不确定的证据作为或多或少可信赖来源提供的信息,以扩展推理环境。然后将此上下文用作可行的推理过程的基础。然后,我们展示了我们的系统如何为科学的推理模型提供足够的基础。我们尤其专注于科学研究计划的认识论。

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