Open Source Common Lisp Artificial Intelligence Software

A general and small implementation of an artificial neural network in Common Lisp.

An ACT-R 6.0 module built from the WordNet lexical database (ACT-R/WN-LEXICAL)

Small implementation of Push 3 programming language in Common Lisp. Push 3 is described here http://tinyurl.com/push30. Push is a programming language intended primarily for use in evolutionary computation systems.

CLearJ is a clean Java-implementation of Common Lisp. The big goals are ANSI standard compliance, interoperability with Java and integration with scripting environments. This project is meant to be a sibling to CLearSharp, with sharing of implementation.

CLearSharp is a clean C#-implementation of Common Lisp. The big goals are ANSI standard compliance, interoperability with Java and integration with scripting environments. This project is meant to be a sibling to CLearJ, with sharing of implementation.

Clipper is a Python based Shell and Debugger for the CLIPS Expert System (see http://clipsrules.sourceforge.net/). It is currently build on pyGTK and pyCLIPS.

Research project for Go-Programming

The Common Lisp Reasoner extends the Common Lisp Object System (CLOS) to incorporate a powerful rule language suitable for all kinds of reasoning tasks, vanilla XML and RDF/XML interfaces, and support for a variety of AI-related applications, such as scheduling, planning and diagnosis.

‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.

LispSharp is a fully compiled lisp implementation for the .NET Framework. It uses a Lisp dialect similar to ISO Lisp, it has a Command-line toplevel compiler with Read Compile Print Loop.It references any .NET DLL and produces standard .NET assembly.

StarkOX, the first universal Open Source AI Robot Operating System. It provides easy to use hardware abstraction and commonly-used functionality. Furthermore, strong cognitive functions, voice and pattern detection together with a new powerful scripting language provide possibilities to create and share abstract behavior patterns.

The TUM personal robotics package is a collection of libraries that aims to offer methods for personal robotic assistants to operate successfully in indoor environments.

This project hosts a set of patches that make SBCL (Steel Bank Common Lisp) run on the BlueGene/P supercomputer platform.