Complete implementation of Inductive Logic Programming algorithms with full research accuracy. Includes FOIL (Quinlan 1990) and Progol (Muggleton 1995) with comprehensive configuration. Muggleton, S. ...
Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...
A Model Context Protocol (MCP) server that provides symbolic reasoning capabilities using Logic-LM framework and Answer Set Programming (ASP). This MCP server adapts the Logic-LLM approach for ...
Picat is a new logic-based programming language. In many ways, Picat is similar to Prolog, especially B-Prolog, but it has functions in addition to predicates, pattern-matching instead of unification ...
The debate between programming languages revolves around the necessity of sticking to ladder logic for ease of troubleshooting versus adopting higher-level languages for enhanced functionality and ...
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