先验信念在容错分布式系统设计和分析中的作用。

IF 4.2 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Minds and Machines Pub Date : 2023-01-01 Epub Date: 2023-04-17 DOI:10.1007/s11023-023-09631-3
Giorgio Cignarale, Ulrich Schmid, Tuomas Tahko, Roman Kuznets
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引用次数: 0

摘要

围绕先验知识和后验知识概念的辩论已被证明对哲学许多领域的发展至关重要,如形而上学、认识论、元形而上学等。我们主张,最近关于这两个概念的辩论对人造分布式计算系统及其认识论分析也很有成效。根据最近提出的先验知识的模态和易错性描述,我们阐述了先验信念的相应概念:我们提出了丰富的先验信念类型分类法及其对参与系统工程过程的不同主体的作用,这与现有的观点非常吻合,并且对于解释和处理容错分布式系统中的意外行为特别有希望。发展这样一个哲学基础将为最终在适当的认识推理和分析框架中实施我们的想法提供坚实的基础,因此,这是开发方法和工具以应对此类系统中出现的各种挑战的强制性第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Role of A Priori Belief in the Design and Analysis of Fault-Tolerant Distributed Systems.

The Role of A Priori Belief in the Design and Analysis of Fault-Tolerant Distributed Systems.

The debate around the notions of a priori knowledge and a posteriori knowledge has proven crucial for the development of many fields in philosophy, such as metaphysics, epistemology, metametaphysics etc. We advocate that the recent debate on the two notions is also fruitful for man-made distributed computing systems and for the epistemic analysis thereof. Following a recently proposed modal and fallibilistic account of a priori knowledge, we elaborate the corresponding concept of a priori belief: We propose a rich taxonomy of types of a priori beliefs and their role for the different agents that participate in the system engineering process, which match the existing view exceedingly well and are particularly promising for explaining and dealing with unexpected behaviors in fault-tolerant distributed systems. Developing such a philosophical foundation will provide a sound basis for eventually implementing our ideas in a suitable epistemic reasoning and analysis framework and, hence, constitutes a mandatory first step for developing methods and tools to cope with the various challenges that emerge in such systems.

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来源期刊
Minds and Machines
Minds and Machines 工程技术-计算机:人工智能
CiteScore
12.60
自引率
2.70%
发文量
30
审稿时长
>12 weeks
期刊介绍: Minds and Machines, affiliated with the Society for Machines and Mentality, serves as a platform for fostering critical dialogue between the AI and philosophical communities. With a focus on problems of shared interest, the journal actively encourages discussions on the philosophical aspects of computer science. Offering a global forum, Minds and Machines provides a space to debate and explore important and contentious issues within its editorial focus. The journal presents special editions dedicated to specific topics, invites critical responses to previously published works, and features review essays addressing current problem scenarios. By facilitating a diverse range of perspectives, Minds and Machines encourages a reevaluation of the status quo and the development of new insights. Through this collaborative approach, the journal aims to bridge the gap between AI and philosophy, fostering a tradition of critique and ensuring these fields remain connected and relevant.
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