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LogicNG - The Next Generation Logic Framework

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Introduction

LogicNG is a Java Library for creating, manipulating and solving Boolean and Pseudo-Boolean formulas. It includes 100% Java implementations of popular tools like MiniSAT, Glucose, PBLib, or OpenWBO.

Its main focus lies on memory-efficient data-structures for Boolean formulas and efficient algorithms for manipulating and solving them. The library is designed to be used in industrial systems which have to manipulate and solve millions of formulas per day.

High Level Overview

If you want a high-level overview of LogicNG and how it is used in many applications in the area of product configuration, you can read our white paper.

Philosophy

The most important philosophy of the library is to avoid unnecessary object creation. Therefore formulas can only be generated via formula factories. A formula factory assures that a formula is only created once in memory. If another instance of the same formula is created by the user, the already existing one is returned by the factory. This leads to a small memory footprint and fast execution of algorithms. Formulas can cache the results of algorithms executed on them and since every formula is hold only once in memory it is assured that the same algorithm on the same formula is also executed only once.

Compared to other implementation of logic libraries on the JVM this is a huge memory and performance improvement.

Usage in Your Project

Maven Central

LogicNG is released in the Maven Central Repository. To include the latest version, you can use the following snippet in you build tool of choice:

<dependency>
  <groupId>org.logicng</groupId>
  <artifactId>logicng</artifactId>
  <version>2.4.0</version>
</dependency>
implementation 'org.logicng:logicng:2.4.0'
implementation("org.logicng:logicng:2.4.0")
libraryDependencies += "org.logicng" % "logicng" % "2.4.0"
[org.logicng/logicng "2.4.0"]

Development Model

The master branch contains the latest release of LogicNG. If you want a stable and well tested version you should choose this branch. The development branch reflects the current state of the next version. This branch will always compile, but code might not be as well tested and APIs may still change before the next release. If you want to try cutting edge features, you can checkout this branch at your own risk. It is not recommended to use the development version for production systems. Larger features will be developed in their own branches and will be merged to the development branch when ready.

Getting Started

Tutorial

For a gentle start with LogicNG, look at the tutorial. The tutorial introduces basic concepts and shows how to use LogicNG in a small practical example.

Documentation

The documentation on this side provides an in-depth look at LogicNG.

Compilation

To compile LogicNG simply run mvn compile to build the parsers and compile the source code. You can build a jar of the library with mvn package or install it in your local maven repository via mvn install.

First Steps

The following code creates the Boolean Formula A and not (B or not C) programmatically:

FormulaFactory f = new FormulaFactory();
Variable a = f.variable("A");
Variable b = f.variable("B");
Literal notC = f.literal("C", false);
Formula formula = f.and(a, f.not(f.or(b, notC)));

Alternatively you can just parse the formula from a string:

FormulaFactory f = new FormulaFactory();
PropositionalParser p = new PropositionalParser(f);
Formula formula = p.parse("A & ~(B | ~C)");

Once you created the formula you can for example convert it to NNF or CNF or solve it with an instance of MiniSAT:

Formula nnf = formula.nnf();
Formula cnf = formula.cnf();
SATSolver miniSat = MiniSat.miniSat(f);
miniSat.add(formula);
Tristate result = miniSat.sat();

License & Commercial Support

BooleWorks Logo BooleWorks Logo The library is released under the Apache License and therefore is free to use in any private, educational, or commercial projects. Commercial support is available through the German company BooleWorks GmbH - the company behind LogicNG. Please contact Christoph Zengler at christoph@logicng.org for further details.