Date of Award
Doctor of Philosophy in Computer Science
Computer Science and Stastistics
Inductive Logic Programming (ILP) is an area of research that is at the intersection of Machine Learning and Logic Programming. An ILP system uses positive and negative facts (examples) and optional background knowledge to induce a logic program that 1) accurately describes the facts and 2) successfully predicts the outcome of unseen examples.
This thesis introduces a new ILP algorithm implemented in Equational Logic that takes a hybrid approach to induction, using bottom-up generalization combined with inverse narrowing to create recursive equations.
We also introduce a framework for the induction of conditional equations from positive ground examples.
McDonald, Arthur A., "INDUCTIVE EQUATIONAL LOGIC PROGRAMMING" (2018). Open Access Dissertations. Paper 791.