Open Source Prolog Artificial Intelligence Software

GNU Prolog is a free implementation (under GPL) of the logic programming language PROLOG. It can compile to native machine code which is extremely fast in execution. Another feature is the included constraint solver.

Logic Programming and Deductive Database system (Tabled Prolog) for Unix, Mac, and Windows.

The ECLiPSe Constraint Logic Programming System is designed for solving combinatorial optimization problems, for the development of new constraint solver technology and their hybrids, and for the teaching of modelling, solving and search techniques.

Flora-2 is a powerful knowledge representation and reasoning system designed for building knowledge-intensive applications. It is based on F-logic, HiLog, Transaction Logic, and also supports defeasible reasoning. Applications include intelligent agents, Semantic Web, ontology management, and more. If you use Flora-2 and like it, please acknowledge it in your project!

Amine is an Artificial Intelligence Multi-Layer Java Open Source Platform dedicated to the development of various kinds of Intelligent Systems and Agents (Knowledge-Based, Ontology-Based, Conceptual Graph -CG- Based, NLP, Reasoning and Learning, Natural Language Processing, etc.). Ontology, KB can be created and manipulated with various processes. CG theory is used as the main knowledge representation language. Amine provides two languages: PROLOG+CG which extends PROLOG with CG and Amine modules, and SYNERGY which is a visual activation/propagation based language. CGs are considered by SYNERGY as activable/executable graphs. See for more detail: //amine-platform.sourceforge.net/

JLog is a Prolog interpreter written in Java. It is fast and perfectly suited for education. It includes source editor, query panels, online help, animation primitives, and a GUI debugger. JScriptLog is Prolog in JavaScript.

Prolog+CG is a Java implementation of Prolog with extensions implementing a subset of the Conceptual Graph (CG) theory of John Sowa. CGs are first-class datatypes on a par with terms. Object oriented extensions are also included.

The Virtual Storyteller is a multi-agent framework for generating stories based on a concept called emergent narrative.

PyCLP is a Python library to interface ECLiPSe Constraint Programmig System. This module try to implement a pythonic interface to ECLiPSe ( http://www.eclipseclp.org ) by compromising on a little bit on performance.

A framework for building, deploying and managing well-described REST-ful Web services, including REST-ful Web Services realizations for RSS, XML Topic Maps, Structured Arguments, and Workflow.

A lightweight IDE for Artificial Intelligence. Started as GUI for the Euler reasoning engine. The sources can be N3, RDF, OWL, UML, eCore, plain XML or XSD, files or URL's. Wraps Drools (or CWM, FuXi) as N3 rules engines. Model based app. generation.

Enables Prolog developers to create AI modules for StarCraft BroodWar by wrapping the BWAPI functions in Prolog predicates. For more information refer to the Project Wiki.

The Rule Based Service Level Agreement (RBSLA) project focuses on knowledge representation concepts for service level management of IT services. At the core are rule-based languages to describe contracts and service level agreements in a formal way.

Regulus is a Prolog-based toolkit for building spoken dialogue systems.

TinyCog is a cognitive architecture (perception, action, reasoning, planning, and language) with a focus on representing "self-models" (physical, capabilities, intentions, social, historical, "cognitive stream") in order to implement social reasoning and collaborative planning in a "hunter domain" test bed. We use Prolog, RDF Triples, Description Logic and a HTN-Planner as base technologies.

Weapon-classifying expert systems for melee weapons and firearms.

Wumpus World Game is based on knowledgebase agents and is described in the book , Artificial Intelligence : A Modern Approach (Russel - Norvig). This is an implementation of Wumpus World (a Knowledgebase agent game) using csharp alongside prolog with a GUI. C# has the main environment of the game and the GUI The GUI was created using WPF , Windows Presentation Foundation Prolog is used as the knowledgebase of the agent of Wumpus World In order for C# to communicate with Prolog a Csharp interface is used SWI-Prolog. Author: Abdulrahman Zakrt Date: Jan.02, 2018 Requirements This implementation of Wumpus World uses prolog and is based on Dotnet and requires the following: 64 bit windows machine , Currently the game only supports 64 bit machines SWIPL(v6.6.6) 64 bit (Installed automatically by the game if not available) Latest Version of DotNet (Installed automatically by windows) How to Use In order to use the GUI only you can use the setup.exe in the SetupFiles.

A Practical Agent Programming Language

A Prolog expert system supporting querying and extending the knowledge base from a command-line interface using a format oriented on natural language, with the aim of being maintainable by the domain expert (i.e. without requiring programming skills).

AI Now is an open source endeavour to create a general purpose Artificial Intelligence. The plan is to implement a modular architecture to incorporate AI theories as they are developed. This will provide a growing platform to test new AI theories.

Artificial Intelligence program - keyword based chat, personal voice in/out, animated 3D character, natural language recognition and translation, neural network based strong AI, personality, tone recognition

ALPprolog is a Prolog implementation of an action programming language. With ALPprolog you can program strategies for autonomous agents in dynamic domains like e.g. the Wumpus world.

A project which uses existing speech recognition and speech translation resources to build conversation partners for beginning language students, based on the idea of a "translation game".

This project assembles the implementations of inference engines for CHORD, an object-oriented extension of CHRD.

This project provides a tool (developed by the ArguGRID project) that implements different dispute derivations for assumption-based argumentation. It also computes a dialectical structure of arguments. Users have full control over selection functions and