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Created by Conversive, the Verbot (Verbally Enhanced Software Robot) is based on more than 10 years of AI experience and development. Using XML and .NET architecture, the Verbots SDK allows you to create engaging interactive personalities.
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NxBRE is a lightweight Business Rule Engine (aka Rule Based Engine) for the .NET platform, composed of a forward-chaining inference engine and an XML-driven flow control engine. It supports RuleML 0.9 Naf Datalog and Visio 2003 modeling.
Game Toolbox is a C# assembly designed to facilitate the creation of games and game prototypes. It contains no graphics code, does not depend on XNA, and is Mono-compatible. It provides implementations of A*, GOAP, a genetic algorithm, and more.
Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks.
‘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.
The Introspector enables the programming tools that deal with source code such as the compiler to communicate in a standard and neutral manner reducing the accidental cost of programming. http://github.com/h4ck3rm1k3/
CuberGA project is the flexible Genetic Algorithms framework. Realize your ideas easy with deliveries of this project. Keywords: genetic algorithms, framework, permutation, mutation, crossover, genotype, selection, survival, Левченко Илья.
THIS LIBRARY IS NOT UNDER ACTIVE DEVELOPMENT (sorry).
AIMLBot (Program#) is a small, fast, standards-compliant yet easily customizable .NET dll implementation of an AIML (Artificial Intelligence Markup Language) based chatter bot. AIMLBot has been tested on both Microsoft's runtime environment and Mono.
N-GRAM - tool for n-grams extraction from xml files
Main features: (i) XPath expressions for nodes selection and stop patterns identification; (ii) custom xsl stylesheet to filter the n-gram data.
In this project we develop algorithms that can solve a cooperative problem between four agent types, and their goal is to repair a surface time-efficiently, and a multi-agent simulator application to parametrize, animate, and test the solution.
This project attempts to develop natural language processing routines as applied to a Bible text domain. Many common technologies (e.g., tokenization, Brill POS tagger) are used in conjunction with theoretical paradigms (e.g., hierarchical word definition trees, phrasal concordance).
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.