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This project aims to build a full featured C++ (and possibly Python) library and associated tools which facilitate building Artificial Life simulations in a distributed environment.
This is an open source state machine template for C++. Initially FSM support will be given. The purpose is to facilitate developers to create state machine based C++ applications easily.
GenP Genetic Programming Library is a cross-platform library of genetic programming functions for generic application. Initially it's purpose is for machine learning in board games but should be applicable to any purpose.
ALICE utilizes AIML (Artificial Intelligence Markup Language) to form responses to your questions and inputs. Unlike other commercial chat robot software costing thousands of dollars, ALICE is freely available under the terms of the GNU Public License
A C++ port (a redesign implementation actually) of the CLIPS expert system . This will be done along the lines of the Java port Jess, but full CLIPS backwards compatability will be maintained (even to the API level where possible).
This project consists in tools programmed during the Master in Artificial Intelligence at UCLA, Venezuela. Este proyecto consiste en herramientas que programadas durante la Maestría de Inteligencia Artificial en la UCLA, Venezuela. 2006 - 2007
Librarian is intelligent text classification system. That provide you with the access to your electronic document based on a hierarchical system of classifications.
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EveAI processes the data assuming that it has already been read by a sensor.
Theoretically this should give it reflex behavior. Now the end product should be a self conscious machine future plans are to include the field of robotics.
Top Engine the Semantic Web Engine for the Enterprise. Top Engine is a Business Rule Engine that utilize OWL DL ontologies for vocabulary primitive to write rules on top of ontology. Top Engine support forward and backward chaining with truth maintenance
Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.