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Toolkit for implementing question answering systems and machine translation in both controlled languages and natural languages. Includes first order logic inference, parsing and semantic analysis, and APIs and standalone server software. Currently some t
This project creates an open-source MTS (Message Transport Service) based based on FIPA (www.fipa.org) document SC00084. The goal is to develop a set of Java classes that allow existing Multi-Agent System developers to use FIPA infrastructure components.
This is a framework to develop Contexts and Agents and a Container to run them. The Container lets each Agent interact with the Context and other Agents. The agents are deployed in jar files and each one runs in an exclusive sandbox.
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AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.
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AINet is a general purpose Artificial Intelligence software application and network. It learns from experience and user training to solve problems and interact with the environment. It runs in workstation and robotic applications.
KAON is an ontology management infrastructure targeted for business applications. It includes a comprehensive tool suite allowing easy ontology creation and management. Persistence mechanisms of KAON are based on relational databases.
This is a prolog-like programming language based on the fuzzy logic. It includes the class-libraries for fuzzy logic, probability theory and method of resolution, all made in C++. Java releases possible in the future.
An ANN design/implementation focused to work with optimally with NEAT (http://www.cs.utexas.edu/users/kstanley/neat.html). Semiann uses a sparse matrix to fill out the nodes, connections, weights, biases and activation functions for an ANN.
brCluster is a class library, written in java, that implements generic clustering algorithms carefully designed to allow its aplication in any kind of data. The algorithms implemented are K-means and Hierarchical Clustering (Simple and Complete Link).
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.
A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
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.
Knowledge Management System of China ,
Support Healthcare,Oil development, electric power etc. Knowledge Drived Industry.
Modeling driven,
Event driven ;
Open Source, Internationalization,
Great Malls of Fire is a crowd simulation in a shopping center-like environment. Build your mall, look at your customers shopping... Then set it on fire and then watch them run away in fear!
An Java artificial intelligence platform comprising common AI tools (neural networks, genetic algorithms, wavelets, etc...) and examples. The platform focuses on ease of use and ease of integration..
neuralnetgen is intended to be a universal neural net generator that receives a neural net description (on Neural Net Description Language, also developed on this project) and generates ANSI C code of a library that implements it.