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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
An AI simulation patterned on the design suggested in the book, 'Growing Artificial Societies' by J M Epstein & R Axtell I hope to use this s/w for some intermediate/advanced experiments into economic, social & political studies of mass psychology.
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.
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.
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LeanData is a Demand Management solution that supports all go-to-market strategies such as account-based sales development, geo-based territories, and more. LeanData features a visual, intuitive workflow native to Salesforce that enables users to view their entire lead flow in one interface. LeanData allows users to access the drag-and-drop feature to route their leads. LeanData also features an algorithms match that uses multiple fields in Salesforce.
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,
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.
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.
RoboScout is a software that simulates realistic vehicle behaviour that drives by itself and avoids obstacles in a virtual world. Every instant, the vehicle decides by itself how to modify its speed and direction according to its environment.