Showing 9 open source projects for "xml-parser"

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  • 1
    A lightweight IDE for Artificial Intelligence. Started as GUI for the Euler reasoning engine. The sources can be N3, RDF, OWL, UML, eCore, plain XML or XSD, files or URL's. Wraps Drools (or CWM, FuXi) as N3 rules engines. Model based app. generation.
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  • 2
    MARGO (Multiattribute ARGumentation framework for Opinion explanation), written in Prolog, is the engine developed in the ArguGRID project for decision making.
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  • 3
    A modular language generator based on the theory of Functional Grammar (FG) by Simon C. Dik. Implemented using Java for the user interface, ANTLR for the input format parser and Prolog for the grammar and lexicon module, treating underlying linguistic st
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  • 4
    Artificial Intelligence program - keyword based chat, personal voice in/out, animated 3D character, natural language recognition and translation, neural network based strong AI, personality, tone recognition
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  • 5
    A framework for building, deploying and managing well-described REST-ful Web services, including REST-ful Web Services realizations for RSS, XML Topic Maps, Structured Arguments, and Workflow.
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  • 6
    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
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  • 7
    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
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  • 8
    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.
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  • 9
    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.
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