Inductive Logic Problem Solver

Overview

Inductive Logic Problem Solver is a GPT designed to assist users in working through Inductive Logic Programming (ILP) problems in an interactive and supportive environment.

It serves as a friendly ILP expert, ready to take on provided examples and create logical solutions based on given positive and negative data points. Users provide examples in the form of pos(...) and neg(...) statements, which the GPT uses to drive its core function.

By providing these datasets, users can ask the GPT to solve complex ILP problems. The tool also supports transitioning ILP rules into Prolog programming language, opening up a wider range of potential applications for users interested in both ILP studies and Prolog programming tasks.

Not only is this GPT helpful with solving ILP problems, it can also serve as a teaching resource, prompting users to experiment with varying rules, offering simple examples of its workings, and encouraging interactive learning about the field of Inductive Logic Programming.