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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.
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.
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
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‘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.
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.
Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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.
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.
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.