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GNU Prolog is a free implementation (under GPL) of the logic programming language PROLOG. It can compile to native machine code which is extremely fast in execution. Another feature is the included constraint solver.
The ECLiPSe Constraint Logic Programming System is designed for solving combinatorial optimization problems, for the development of new constraint solver technology and their hybrids, and for the teaching of modelling, solving and search techniques.
Flora-2 is a powerful knowledge representation and reasoning system designed for building knowledge-intensive applications. It is based on F-logic, HiLog, Transaction Logic, and also supports defeasible reasoning. Applications include intelligent agents, Semantic Web, ontology management, and more.
If you use Flora-2 and like it, please acknowledge it in your project!
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A project which uses existing speech recognition and speech translation resources to build conversation partners for beginning language students, based on the idea of a "translation game".
N.B. THE PROJECT HAS BEEN MOVED TO GITHUB
https://github.com/jiprolog/
JIProlog is a cross-platform pure Java 100% Prolog interpreter that integrates Prolog and Java languages in a very fashinating way.
JIProlog is compliant with the major Prolog interpreters. It supports most of ISO Prolog specifications and the most common and used built-in predicates,
JIProlog allows to call Prolog predicates from Java without dealing with native code (JNI or JNA) and allows to invoke Java...
OpenPoplog is a multi-language, incrementally-compiled virtual machine-based development environment with its own extensive teaching and support material, supporting the languages Pop-11, Prolog, Common Lisp and ML on Unix, VMS, Linux and Windows.
PVN evaluates logical formula in a user defined n-valued semantics. Current efforts are aimed at fleshing out the port to GNU\'s prolog environment. Possible uses include embedding into a public domain knowledge base for a defeasible reasoning system.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.