
TL;DR
This paper introduces a data concept based on information and computable functions, defining data types as pairs of characters and operations, with subtyping methods relevant to automation industry characteristics.
Contribution
It presents a novel data concept grounded in information theory and computability, with specific subtyping approaches for the automation industry context.
Findings
Defines data as typed information with computable functions
Describes two subtyping methods: restriction and extension
Aligns the data concept with automation industry characteristics
Abstract
The contribution of this article is a data concept that is essentially based on the two concepts of information and computable functionality. In short, data is viewed as typed information. A data type is defined as a pair of a set of distinguishable characters (an alphabet) and a set of operations (computable functions) that operate on this alphabet as domain. Two different ways of subtyping in the sense of Liskov and Wing are described, one for restriction and one for extension of existing types. They lead to two different partial orders on types. It is argued that the proposed data concept matches the concept of characteristics (Merkmale) of the automation industry.
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Taxonomy
TopicsComputability, Logic, AI Algorithms · History of Computing Technologies · Cellular Automata and Applications
