A Pragmatic Theory of Computational Artefacts

IF 4.2 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Alessandro G. Buda, Giuseppe Primiero
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引用次数: 0

Abstract

Some computational phenomena rely essentially on pragmatic considerations, and seem to undermine the independence of the specification from the implementation. These include software development, deviant uses, esoteric languages and recent data-driven applications. To account for them, the interaction between pragmatics, epistemology and ontology in computational artefacts seems essential, indicating the need to recover the role of the language metaphor. We propose a User Levels (ULs) structure as a pragmatic complement to the Levels of Abstraction (LoAs)-based structure defining the ontology and epistemology of computational artefacts. ULs identify a flexible hierarchy in which users bear their own semantic and normative requirements, possibly competing with the logical specification. We formulate a notion of computational act intended in its pragmatic sense, alongside pragmatic versions of implementation and correctness.

Abstract Image

计算人工制品的语用理论
一些计算现象本质上依赖于实用的考虑,并且似乎破坏了规范与实现的独立性。其中包括软件开发、越轨使用、深奥的语言和最近的数据驱动应用程序。为了解释它们,在计算人工制品中,语用学、认识论和本体论之间的相互作用似乎是必不可少的,这表明需要恢复语言隐喻的作用。我们提出了一个用户层次(ULs)结构,作为基于抽象层次(LoAs)结构的实用补充,该结构定义了计算工件的本体和认识论。ul确定了一个灵活的层次结构,其中用户承担自己的语义和规范需求,可能与逻辑规范竞争。我们在其语用意义上制定了计算行为的概念,以及实现和正确性的语用版本。
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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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