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Level of detail in writing, sometimes known as level of abstraction, refers to three concepts: the precision in using the right words to form phrases, clauses and sentences; [1] the generality of statements; and the organisational strategy in which authors arrange ideas according to a common topic in the hierarchy of detail.
Its development is likely to have been closely connected with the development of human language, which (whether spoken or written) appears to both involve and facilitate abstract thinking. Max Müller suggests interrelationship between metaphor and abstraction in the development of thought and language. [4]
The term abstraction has a number of uses in the field of linguistics. It can denote a process (also called object abstraction) in the development of language, whereby terms become used for concepts further removed from the objects to which they were originally attached. It can also denote a process applied by linguists themselves, whereby ...
Abstraction is the thought process in which ideas are distanced from objects. Abstraction uses a strategy of simplification of detail, wherein formerly concrete details are left ambiguous, vague, or undefined; thus speaking of things in the abstract demands that the listener have an intuitive or common experience with the speaker, if the speaker expects to be understood.
The instruction "write a creative poem on love" is a high-level instruction. The instruction "tighten the tendons in the dominant wrist to grip the pen" is a low-level description of an activity within that. "Wikipedia is an encyclopedia" is a high-level description compared to "Wikipedia is a collection of textual articles on many topics".
The abstraction principle is mentioned in several books. Some of these, together with the formulation if it is succinct, are listed below. Alfred John Cole, Ronald Morrison (1982) An introduction to programming with S-algol: "[Abstraction] when applied to language design is to define all the semantically meaningful syntactic categories in the language and allow an abstraction over them".
Design patterns in computer science represent abstract solutions to common software design problems. While they are not abstractions in the same sense as data structures or mathematical concepts, design patterns provide a high-level language for software developers to communicate and implement solutions in a consistent and recognizable way.
Conceptual semantics is a framework for semantic analysis developed mainly by Ray Jackendoff in 1976. Its aim is to provide a characterization of the conceptual elements by which a person understands words and sentences, and thus to provide an explanatory semantic representation (title of a Jackendoff 1976 paper).