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Logical framework

Logical framework is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Logical framework rather than just read about it. In short: In logic, a logical framework provides a means to define (or present) a logic as a signature in a higher-order type theory in such a way that provability of a formula in the original logic reduces to a type inhabitation problem in the framework type theory. This approach has been used successfully for (interactive) automated theorem proving.

Key takeaways

  • Logical framework belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Logical framework to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Logical framework from memory before moving on to harder problems.

Reference excerpt

In logic, a logical framework provides a means to define (or present) a logic as a signature in a higher-order type theory in such a way that provability of a formula in the original logic reduces to a type inhabitation problem in the framework type theory. This approach has been used successfully for (interactive) automated theorem proving. The first logical framework was Automath; however, the name of the idea comes from the more widely known Edinburgh Logical Framework, LF. Several more recent proof tools like Isabelle are based on this idea. Unlike a direct embedding, the logical framework approach allows many logics to be embedded in the same type system.

Overview A logical framework is based on a general treatment of syntax, rules and proofs by means of a dependently typed lambda calculus. Syntax is treated in a style similar to, but more general than Per Martin-Löf's system of arities. To describe a logical framework, one must provide the following:

A characterization of the class of object-logics to be represented; An appropriate meta-language; A characterization of the mechanism by which object-logics are represented. This is summarized by:

"Framework = Language + Representation."

LF In the case of the LF logical framework, the meta-language is the λΠ-calculus. This is a system of first-order dependent function types which are related by the propositions as types principle to first-order minimal logic. The key features of the λΠ-calculus are that it consists of entities of three levels: objects, types and kinds (or type classes, or families of types). It is predicative, all well-typed terms are strongly normalizing and Church-Rosser and the property of being well-typed is decidable. However, type inference is undecidable. A logic is represented in the LF logical framework by the judgements-as-types representation mechanism. This is inspired by Per Martin-Löf's development of Kant's notion of judgement, in the 1983 Siena Lectures. The two higher-order judgements, the hypothetical J ⊢ K {\displaystyle J\vdash K} and the general, Λ x ∈ J . K ( x ) {\displaystyle \Lambda x\in J.K(x)} , correspond to the ordinary and dependent function space, respectively. The methodology of judgements-as-types is that judgements are represented as the types of their proofs. A logical system L {\displaystyle {\mathcal {L}}} is represented by its signature which assigns kinds and types to a finite set of constants that represents its syntax, its judgements and its rule schemes. An object-logic's rules and proofs are seen as primitive proofs of hypothetico-general judgements Λ x ∈ C . J ( x ) ⊢ K {\displaystyle \Lambda x\in C.J(x)\vdash K} . An implementation of the LF logical framework is provided by the Twelf system at Carnegie Mellon University. Twelf includes

a logic programming engine meta-theoretic reasoning about logic programs (termination, coverage, etc.) an inductive meta-logical theorem prover

See also Grammatical Framework Turnstile (symbol)

References

Further reading Frank Pfenning (2002). "Logical frameworks – a brief introduction". In Helmut Schwichtenberg, Ralf Steinbrüggen (ed.). Proof and system-reliability (PDF). Springer. ISBN 978-1-4020-0608-1. Robert Harper, Furio Honsell and Gordon Plotkin. A Framework For Defining Logics. Journal of the Association for Computing Machinery, 40(1):143-184, 1993. Arnon Avron, Furio Honsell, Ian Mason and Randy Pollack. Using typed lambda calculus to implement formal systems on a machine. Journal of Automated Reasoning, 9:309-354, 1992. Robert Harper. An Equational Formulation of LF. Technical Report, University of Edinburgh, 1988. LFCS report ECS-LFCS-88-67. Robert Harper, Donald Sannella and Andrzej Tarlecki. Structured Theory Presentations and Logic Representations. Annals of Pure and Applied Logic, 67(1–3):113-160, 1994. Samin Ishtiaq and David Pym. A Relevant Analysis of Natural Deduction. Journal of Logic and Computation 8, 809–838, 1998. Samin Ishtiaq and David Pym. Kripke Resource Models of a Dependently-typed, Bunched λ {\displaystyle \lambda } -calculus. Journal of Logic and Computation 12(6), 1061–1104, 2002. Per Martin-Löf. "On the Meanings of the Logical Constants and the Justifications of the Logical Laws." "Nordic Journal of Philosophical Logic", 1(1): 11–60, 1996. Bengt Nordström, Kent Petersson, and Jan M. Smith. Programming in Martin-Löf's Type Theory. Oxford University Press, 1990. (The book is out of print, but a free version has been made available.) David Pym. A Note on the Proof Theory of the λ Π {\displaystyle \lambda \Pi } -calculus. Studia Logica 54: 199–230, 1995. David Pym and Lincoln Wallen. Proof-search in the λ Π {\displaystyle \lambda \Pi } -calculus. In: G. Huet and G. Plotkin (eds), Logical Frameworks, Cambridge University Press, 1991. Didier Galmiche and David Pym. Proof-search in type-theoretic languages:an introduction. Theoretical Computer Science 232 (2000) 5-53. Philippa Gardner. Representing Logics in Type Theory. Technical Report, University of Edinburgh, 1992. LFCS report ECS-LFCS-92-227. Gilles Dowek. The undecidability of typability in the lambda-pi-calculus. In M. Bezem, J.F. Groote (Eds.), Typed Lambda Calculi and Applications. Volume 664 of Lecture Notes in Computer Science, 139–145, 1993. David Pym. Proofs, Search and Computation in General Logic. Ph.D. thesis, University of Edinburgh, 1990. David Pym. A Unification Algorithm for the λ Π {\displaystyle \lambda \Pi } -calculus. International Journal of Foundations of Computer Science 3(3), 333–378, 1992.

External links Specific Logical Frameworks and Implementations (a list maintained by Frank Pfenning, but mostly dead links from 1997)

Worked examples

Example 1 — a first encounter with Logical framework

Start with the simplest possible case. Write down what Logical framework claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Logical framework before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Logical framework ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Logical framework

In research
Logical framework appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Logical framework in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Logical framework is common in secondary-school and first-year university syllabi. It links to neighbouring topics Dependently typed programming, Logic in computer science, Proof assistants, so understanding it makes those chapters shorter.
In everyday life
Look for Logical framework outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Logical framework in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Logical framework means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Logical framework out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Logical framework in simple terms?

In logic, a logical framework provides a means to define (or present) a logic as a signature in a higher-order type theory in such a way that provability of a formula in the original logic reduces to a type inhabitation problem in the framework type theory. This approach has been used successfully…

Why does Logical framework matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Logical framework?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Logical framework.

Tags

  • Dependently typed programming
  • Logic in computer science
  • Proof assistants
  • Type theory

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