Agda

Paradigm	Functional
Designed by	Ulf Norell; Catarina Coquand (1.0)
Developer	Chalmers University of Technology
First appeared	1.0 – 1999; 25 years ago (1999) 2.0 – 2007; 17 years ago (2007)
Stable release	2.7.0 / August 16, 2024; 4 months ago (2024-08-16)
Typing discipline	strong, static, dependent, nominal, manifest, inferred
Implementation language	Haskell
OS	Cross-platform
License	BSD-like[1]
Filename extensions	.agda, .lagda, .lagda.md, .lagda.rst, .lagda.tex
Website	wiki.portal.chalmers.se/agda
Influenced by
Coq, Epigram, Haskell
Influenced
Idris

Agda is a dependently typed functional programming language originally developed by Ulf Norell at Chalmers University of Technology with implementation described in his PhD thesis.^[2] The original Agda system was developed at Chalmers by Catarina Coquand in 1999.^[3] The current version, originally named Agda 2, is a full rewrite, which should be considered a new language that shares a name and tradition.

Agda is also a proof assistant based on the propositions-as-types paradigm (Curry–Howard correspondence), but unlike Coq, has no separate tactics language, and proofs are written in a functional programming style. The language has ordinary programming constructs such as data types, pattern matching, records, let expressions and modules, and a Haskell-like syntax. The system has Emacs, Atom, and VS Code interfaces^[4][5][6] but can also be run in batch processing mode from a command-line interface.

Agda is based on Zhaohui Luo's unified theory of dependent types (UTT),^[7] a type theory similar to Martin-Löf type theory.

Agda is named after the Swedish song "Hönan Agda", written by Cornelis Vreeswijk,^[8] which is about a hen named Agda. This alludes to the name of the theorem prover Coq, which was named after Thierry Coquand.

The main way of defining data types in Agda is via inductive data types which are similar to algebraic data types in non-dependently typed programming languages.

Here is a definition of Peano numbers in Agda:

 data ℕ : Set where
   zero : ℕ
   suc : ℕ → ℕ

Basically, it means that there are two ways to construct a value of type , representing a natural number. To begin, zero is a natural number, and if n is a natural number, then suc n, standing for the successor of n, is a natural number too.

Here is a definition of the "less than or equal" relation between two natural numbers:

 data _≤_ : ℕ → ℕ → Set where
   z≤n : {n : ℕ} → zero ≤ n
   s≤s : {n m : ℕ} → n ≤ m → suc n ≤ suc m

The first constructor, z≤n, corresponds to the axiom that zero is less than or equal to any natural number. The second constructor, s≤s, corresponds to an inference rule, allowing to turn a proof of n ≤ m into a proof of suc n ≤ suc m.^[9] So the value s≤s {zero} {suc zero} (z≤n {suc zero}) is a proof that one (the successor of zero), is less than or equal to two (the successor of one). The parameters provided in curly brackets may be omitted if they can be inferred.

In core type theory, induction and recursion principles are used to prove theorems about inductive types. In Agda, dependently typed pattern matching is used instead. For example, natural number addition can be defined like this:

 add zero n = n
 add (suc m) n = suc (add m n)

This way of writing recursive functions/inductive proofs is more natural than applying raw induction principles. In Agda, dependently typed pattern matching is a primitive of the language; the core language lacks the induction/recursion principles that pattern matching translates to.

One of the distinctive features of Agda, when compared with other similar systems such as Coq, is heavy reliance on metavariables for program construction. For example, one can write functions like this in Agda:

 add : ℕ → ℕ → ℕ
 add x y = ?

? here is a metavariable. When interacting with the system in emacs mode, it will show the user expected type and allow them to refine the metavariable, i.e., to replace it with more detailed code. This feature allows incremental program construction in a way similar to tactics-based proof assistants such as Coq.

Programming in pure type theory involves a lot of tedious and repetitive proofs. Although Agda has no separate tactics language, it is possible to program useful tactics within Agda. Typically, this works by writing an Agda function that optionally returns a proof of some property of interest. A tactic is then constructed by running this function at type-checking time, for example using the following auxiliary definitions:

  data Maybe (A : Set) : Set where
    Just : A → Maybe A
    Nothing : Maybe A

  data isJust {A : Set} : Maybe A → Set where
    auto : ∀ {x} → isJust (Just x)

  Tactic : ∀ {A : Set} (x : Maybe A) → isJust x → A
  Tactic Nothing ()
  Tactic (Just x) auto = x

Given a function check-even : (n : ${\displaystyle \mathbb {N} }$) → Maybe (Even n) that inputs a number and optionally returns a proof of its evenness, a tactic can then be constructed as follows:

  check-even-tactic : {n : ℕ} → isJust (check-even n) → Even n
  check-even-tactic {n} = Tactic (check-even n)

  lemma0 : Even zero
  lemma0 = check-even-tactic auto

  lemma2 : Even (suc (suc zero))
  lemma2 = check-even-tactic auto

The actual proof of each lemma will be automatically constructed at type-checking time. If the tactic fails, type-checking will fail.

Further, to write more complex tactics, Agda supports automation via reflective programming (reflection). The reflection mechanism allows quoting program fragments into, or unquoting them from, the abstract syntax tree. The way reflection is used is similar to the way Template Haskell works.^[10]

Another mechanism for proof automation is proof search action in Emacs mode. It enumerates possible proof terms (limited to 5 seconds), and if one of the terms fits the specification, it will be put in the meta variable where the action is invoked. This action accepts hints, e.g., which theorems and from which modules can be used, whether the action can use pattern matching, etc.^[11]

Agda is a total functional programming language, i.e., each program in it must terminate and all possible patterns must be matched. Without this feature, the logic behind the language becomes inconsistent, and it becomes possible to prove arbitrary statements. For termination checking, Agda uses the approach of the Foetus termination checker.^[12]

Agda has an extensive de facto standard library, which includes many useful definitions and theorems about basic data structures, such as natural numbers, lists, and vectors. The library is in beta, and is under active development.

One of the more notable features of Agda is a heavy reliance on Unicode in program source code. The standard emacs mode uses shortcuts for input, such as \Sigma for Σ.

There are two compiler backends, MAlonzo for Haskell and one for JavaScript.

• List of proof assistants

• Bove, Ana; Dybjer, Peter; Norell, Ulf (n.d.). "Brief Overview of Agda – A Functional Language with Dependent Types" (PDF).
• Norell, Ulf; Chapman, James (n.d.). "Dependently Typed Programming in Agda" (PDF).

• Official website
• Introduction to Agda, a five-part YouTube playlist by Daniel Peebles
• Brutal [Meta]Introduction to Dependent Types in Agda
• Agda Tutorial: "explore programming in Agda without theoretical background"
• HoTTEST Summer School 2022, 66 lectures on Homotopy Type Theory, including many introductory lectures and exercises on Agda