2012
DOI: 10.1007/978-3-642-31374-5_14
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Theory Presentation Combinators

Abstract: Abstract. We motivate and give semantics to theory presentation combinators as the foundational building blocks for a scalable library of theories. The key observation is that the category of contexts and fibered categories are the ideal theoretical tools for this purpose.

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Cited by 14 publications
(15 citation statements)
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“…Interesting categorical motivation of such an approach is presented in [7]. Modules can be treated globally for all proof assistants, and a kind of interface allowing for information interchange is proposed as MMT -a module system for mathematical theories with scalable formalism [34].…”
Section: Discussionmentioning
confidence: 99%
“…Interesting categorical motivation of such an approach is presented in [7]. Modules can be treated globally for all proof assistants, and a kind of interface allowing for information interchange is proposed as MMT -a module system for mathematical theories with scalable formalism [34].…”
Section: Discussionmentioning
confidence: 99%
“…This is the problem we continue [1,6,8,9] to tackle here, and that others [11] have started to look at as well. It is worthwhile noting that some programming languages already provide interesting features in this direction.…”
Section: Introductionmentioning
confidence: 93%
“…A complex body of mathematical knowledge can be represented in accordance with the little theories method [30] (or even the tiny theories method [18]) as a theory graph [36] consisting of axiomatic theories as nodes and theory morphisms as directed edges. A theory morphism is a meaning-preserving mapping from the formulas of one axiomatic theory to the formulas of another.…”
Section: Background Ideasmentioning
confidence: 99%
“…In [18], we developed combinators for combining theory presentations. There is no significant difference between axiomatic and biform theories with respect to the semantics of these combinators, and we expect that these will continue to work as well as they did in [8].…”
Section: Biform Theory Graphsmentioning
confidence: 99%