We present a method for solving Programming By Example (PBE) problems by using a neural model to guide the search of a constraint logic programming system called miniKanren. Crucially, the neural model uses miniKanren's internal representation as input; miniKanren represents a PBE problem as recursive constraints imposed by the provided examples.

Synthesizing programs using example input/outputs is a classic problem in artificial intelligence. We present a method for solving Programming By Example (PBE) problems by using a neural model to guide the search of a constraint logic programming system called miniKanren. Crucially, the neural model uses miniKanren's internal representation as input; miniKanren represents a PBE problem as

miniKanren Code. In order to start running miniKanren examples in DrRacket put the following implementation file into a directory: implementation.rkt; Create a file myFile.rkt in the same directory and start with the following incantation: # Examples kanren enables one to express sophisticated relations—in the form of goals —and generate values that satisfy the relations. The following code is the "Hello, world!" of logic programming; it asks for values of the logic variable x such that x == 5: In the first example above, the goal eq(q, 3) can be satisfied if the logic variable q is bound to the value 3. Thus, when it is run, this goal produces a result set with a single value: 3. As the other examples show, a logic variable can be unified with a wide variety of JavaScript values.

Minikanren is a relation and logic programming language similar in many respects to prolog. It’s designed to be lightweight and embeddable in other host languages. There is a paper about a minimal implementation call MicroKanren that has spawned many derivatives. It’s impressively short. http://webyrd.net/scheme-2013/papers/HemannMuKanren2013.pdf. I started studying miniKanren with the book "The Reasoned Schemer - second edition" and the DrRacket scheme environment.

A slightly more complicated example is a disequality constraint between two lists. (run* (q) (fresh (p r) (=/= ' (1 2) ` (,p,r)) (== ` (,p,r) q))) The answer states that p and r are unbound, and that p cannot be associated with 1 while r is associated with 2.

The workshop solicits papers and talks on the design, implementation, and application of miniKanren-like languages. A major goal of the workshop is to bring together researchers In which, the answer will be: Zero.

We will teach attendees how to use the relational (logic) language miniKanren to write several relational interpreters and reducers capable of automatically

Many of its critical design decisions are a reaction to those of Prolog … The above examples use `eq`, a *goal constructor* to state that two expressions are equal. Other goal constructors exist such as `membero(item, coll)` which states that `item` is a member of `coll`, a collection.

The miniKanren language in this package is the language presented in Byrd and Friedman’s "From variadic functions to variadic relations" [1]; it is a descendant of the language presented in Friedman, Byrd, and Kiselyov’s The Reasoned Schemer [2]. 2009-03-10 · Many tutorials below are specifically miniKANREN tutorials. Incidentally, miniKANREN is quite efficient. mini/mk.scm The complete implementation (used in the book). mini/mkextraforms.scm Extra forms appearing in the framenotes of the book. mini/mkprelude.scm Useful definitions from the book.
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A slightly more complicated example is a disequality constraint between two lists. (run* (q) (fresh (p r) (=/= ' (1 2) ` (,p,r)) (== ` (,p,r) q))) The answer states that p and r are unbound, and that p cannot be associated with 1 while r is associated with 2. miniKanren has been implemented in a growing number of host languages, including Scheme, Racket, Clojure, Haskell, Python, JavaScript, Scala, Ruby, OCaml, and PHP, among many other languages. miniKanren is designed to be easily modified and extended; extensions include Constraint Logic Programming, package: minikanren. An embedding of logic programming in Scheme.

As the symbolic-pymc project advances, we’ll cover examples in which miniKanren’s more distinct offerings are demonstrated.
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The examples above made implicit use of the goal constructors lall and lany, which represent goal conjunction and disjunction, respectively.Many useful relations can be expressed with lall, lany, and eq alone, but in kanren it's also easy to leverage the host language and explicitly create any relation expressible in Python.

minimart - Like In our previous example, we had to carefully chose distinct variable names. It makes more sense for We took our appendo example from a miniKanren demo . several examples, searching for a suitable generalization of the problem under such as mini-kanren (from The Reasoned Schemer [19]) to unify the Apr 6, 2015 of the examples in The Reasoned Schemer.

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Minikanren is a relation and logic programming language similar in many respects to prolog. It’s designed to be lightweight and embedable in other host languages. There is a paper about a minimal implementation call MicroKanren that has spawned many derivatives.

It's supported but maybe not so neatly and straightforwardly as you're used to.

Minikanren is a relation and logic programming language similar in many respects to prolog. It’s designed to be lightweight and embeddable in other host languages. There is a paper about a minimal implementation call MicroKanren that has spawned many derivatives. It’s impressively short. http://webyrd.net/scheme-2013/papers/HemannMuKanren2013.pdf.

miniKanren has been implemented in a growing number of host languages, including Scheme, Racket, Clojure, Haskell, Python, JavaScript, Scala, Ruby, OCaml, and PHP, among many other languages. miniKanren is designed to be easily modified and extended; extensions include … package: minikanren. An embedding of logic programming in Scheme. The miniKanren language in this package is the language presented in Byrd and Friedman’s "From variadic functions to variadic relations" [1]; it is a descendant of the language presented in Friedman, Byrd… Here is an example: const { run , eq , exist } = require ( ' ramo ' ); run ()( q => exist (( x , y ) => [ eq (x, ' one ' ), eq (y, false ), eq (q, [x, y]) ])); // => [['one', false]] This demonstration barely even scratches the surface of what’s possible using miniKanren and relational programming for graph manipulation and symbolic statistical model optimization. As the symbolic-pymc project advances, we’ll cover examples in which miniKanren’s more distinct offerings are demonstrated.

Cameron Swords on the long road to the Ph.D. In a previous post, I mentioned a rough idea to allow users to perform guided search in miniKanren.As part of my qualifying examination with Dan Friedman, I rewrote the deep structural segments of miniKanren to allow users to do exactly that! Although, you can use minikanren in such an application, you are missing out on a lot of its power if you do that.