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This project will provide an interface for using Lightweight Communications Calculus (LCC) to control agents in the Unreal Tournament enviroment. It consists of a prolog-style interperter, LCC parser/IDE,a GUI / LCC editor and interfaces to the Gamebots
8. Mai 2005: We have discontinued SourceForge as a download place for our open source projects. You can now download these projects directly from the XLOG Technologies GmbH web site at http://www.xlog.ch/omonia.
The SLIE agent modelling software allows researchers in MAS (Multi-Agent Systems) to build simulations of MASes with a view to exploring design problems relating to scalability and robustness using techniques from ecology, biology and economics.
Implemented in Flora-2/XSB, F-OWL is an inference engine for the standard Web Ontology Language OWL. A set of Java API is provided for applications to assert and query OWL ontology statements.
A group of systems for building network-oriented intelligent agents, consisting an agent communications infrastructure, April - an agent construction programming language, Go! - a logic programming language and DialoX - an XML-based user interface engine
Leo is a project to provide an architecture for defining XML
specifications of grammars for different natural language parsing
systems and tools for using that architecture to permit sharing of
grammar resources across different systems.
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.
GASPAR implements an dialectical argumentation framework for instantiating the artificial intellect of a software agent. In this artilect, motivations are represented in mental faculties which argue why and how these motivations can be adopted.
Secure and customizable compute service that lets you create and run virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
Learn basic constraint logic programming by solving logic word puzzles. Go to http://eclipse.dougedmunds.com . This tutorial will show you how to solve easy 1 star to hard 5 star puzzles, using the eCLiPSe-CLP language (available at http://eclipseclp.org/).
Don't confuse this programming language (a prolog language) with the IDE for Java.