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]]

A video I watched recently on logic programming, A Vision for Relational Programming in miniKanren, by William Byrd gives some interesting examples of relational programming using miniKanren. miniKanren is an embedded constraint logic programming language designed for writing programs as relations , rather than as functions or procedures.

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: # miniKanren project syntax to write Racket code that interfaces with this representation. Performance is sufficient for the GUI to support low latency querying in the common case. In this paper we provide an overview of mediKanren, give examples of queries in low-level and medium-level query The soft cut is an example of a non-relational feature. Such features usually do not compose well in the sense that they are sensitive to the order in which they appear in a program.

Minikanren examples

Performance is sufficient for the GUI to support low latency querying in the common case. In this paper we provide an overview of mediKanren, give examples of queries in low-level and medium-level query An example of miniKanren code is evalo, a relational goal that relates expressions to the values that they evaluate to. When evalo is called in miniKanren like so: (evalo q q), it will generate quines, that is, expressions q that when run will evaluate to themselves. miniKanren Code.

An example of miniKanren code is evalo, a relational goal that relates expressions to the values that they evaluate to. When evalo is called in miniKanren like so: (evalo q q), it will generate quines, that is, expressions q that when run will evaluate to themselves.The book The Reasoned Schemer uses miniKanren to demonstrate relational programming, and provides a complete implementation in

Even so, we hope that this example convinces you that a miniKanren stepper can be a useful debugging tool. In particular, being able to choose which disjuncts to explore is even more helpful for complex miniKanren programs with many disjuncts. Only some of the disjuncts In miniKanren queries, data ﬂow is not directionally biased: any input to a relation can be unknown.

Programming by Example (PBE) is one way to formulate program synthesis 5], and neural guided search [6, 7]. examples. miniKanren. ML Agent program.

Our Recurrent Neu-ral Network (RNN) model uses these constraints as input to score candidate pro-grams. We show evidence that using our method to guide miniKanren’s search is Posted in group: minikanren > There's a question of efficiency raised by the introduction of new disjunctions. It's possible to keep some derived disjunctions in the constraint store to avoid branching, much like we do for =/=*. They can be veiwed as generalization of regular disequality constraints, that MiniKanren already has.

For example, a query (RX y) where yis known and X is an unknown, called a logic variable, ﬁnds values X where X and yare related by R. In other words, given Rand fdeﬁned as before, the query ﬁnds inputs X to fsuch that (fX) = y. reason that miniKanren could use more search strategies than just DFS i. In many applications, there does not exist one order that serves all purposes.
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It asks for `1` number, `x`, such that `x == 5` ~~~~~Python >>> from kanren import run, eq, membero, var, conde >>> x = var() >>> run(1, x, eq(x, 5)) (5,) ~~~~~ miniKanren, Live and Untagged Quine Generation via Relational Interpreters (Programming Pearl) William E. Byrd Eric Holk Daniel P. Friedman School of Informatics and Computing, Indiana University, Bloomington, IN 47405 MiniKanren online.

As the symbolic-pymc project advances, we’ll cover examples in which miniKanren’s more distinct offerings are demonstrated. Synthesizing programs using example input/outputs is a classic problem in artiﬁcial intelligence.
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Proofs may contain redundancies, for example when an elimination introduction, as in the following example in which Dl denotes a deduction with conclusion

Interleaving search uses more memory than depth-first search, but can find answers in some cases in which depth-first search will diverge/loop forever. miniKanren does support a few extra-logical operators---conda, condu, and project, for example. conda and condu can be used to simulate Prolog's cut, and project can be used to get the value associated with a logic variable.

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Keywords miniKanren,relationalprogramming,logicpro-gramming, Scheme 1. Introduction miniKanren is the principal member of an eponymous fam-ily of relational (logic) programming languages. Many of its critical design decisions are a reaction to those of Prolog and other well-known 5th-generation languages. One of the

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: # miniKanren project syntax to write Racket code that interfaces with this representation.