Open Source Lisp Artificial Intelligence Software for Windows
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Lisp Artificial Intelligence Software for Windows
View 1381 business solutionsBrowse free open source Lisp Artificial Intelligence Software for Windows and projects below. Use the toggles on the left to filter open source Lisp Artificial Intelligence Software for Windows by OS, license, language, programming language, and project status.
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ACT-CV provides an easy to use interface between visual objects on the computer screen (or another video source) and a cognitive modeling tool.
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Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project
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Algernon is a rule-based reasoning engine written in Java. It allows forward and backward chaining across Protege knowledge bases. In addition to traversing the KB, rules can call Java functions and LISP functions (from an embedded LISP interpreter)
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Online game for developers. Program your team of 4 ants (in LISP) that can reproduce and gain experience and fight against another players in different game modes(CTF, TDM, DM)!
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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.
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Carneades is an argument mapping application, with a graphical user interface, and a software library for building applications supporting various argumentation tasks.
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The CommGen platform is intended to be a simple, scalable integration platform for small to medium problem sets. The architecture is simple, consisting of a distributed kernel, distributed O/S, agent and application layer.
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CommonReality aims to bring a standard to the cognitive architecture, robotics, and sensor development community. CommonReality specifies a common interface for parceling the world into cognitively processable components. See the forums and mailing list
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This proyect will be many things. It will be not only a software program; but also your assistant and maybe your friend. You should be able to speak with her, ask her for advice, or ask her to do your homework.It will be a powerful OS such as Linux but fr
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Hippal is an integrating GUI-framework for a multimodular symbolic A.I.-system IPAL, which combines A.I. Planning, Inductive Program Synthesis, Analogical Reasoning and Learning. Hippal is client-/server-based and uses the Lili Lisp Interpreter as Centr
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JLLL - Java Lisp Like Language. Everything are Objects! Classes, methods, functions, arguments and so on are Objects. This language uses Lisp syntax.
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Jatha is a Java library that implements a large subset of Common LISP, including most of the datatypes (e.g. packages, bignums). The API allows access to LISP from Java. Jatha is useful as a fast, embedded LISP language, or as a standalone LISP.
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A small but extensible Java based "embedded lisp"- derives from the 1960 Mc Carthy Lisp a new consequently functional, dynamically scoped dialect enriched by modern features (pattern matching, parallel processing, implicit lex. closures etc).
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OpenCyc is the open source version of the Cyc(r) technology, the world's largest and most complete general knowledge base and reasoning engine. A new release with even more content, better performance, and improved reliability will be up shortly.
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OpenRLL is a Clojure-based, open-source reimplementation of the interesting bits of Russell Greiner and Douglas Lenat's Representation Language Language.
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This is one approach to implementing the ideas discussed as the Public Domain Knowledge Base. Originally coded by Stephen Reed before joining Cycorp and currently maintained by Vic Bancroft. The next release with contributions made here will be versio
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PDKB is an Artificial Intelligence Knowledge Bank of commonsense rules and facts. It is based on the Cyc Upper Ontology and the MELD language.
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QuickAI (pronounced, "quickeye", or just "Quick" for short) is a return to the fundamental goals of creating an artificial intelligence. The priorities are to implement core models of knowledge and knowing, a reasoning engine, and a simple interface.
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SenseRank Sys: - builds the dictionaries (multidim matrices) of words’ values; - for the set utterance in certain language builds a figure in multidimensional space (in the matrix space) of values (visual schema), which is topological view of sense
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