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Differentiable Inductive Logic Programming: ILP by SAT Solving - Part 2

Neuro Symbolic via YouTube

Overview

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Explore differentiable inductive logic programming (ILP) through SAT-solving in this 11-minute video from the Neuro Symbolic Channel. Delve into the second part of the series, where Associate Professor Paulo Shakarian from Arizona State University guides you through an example of ILP by SAT-solving. Gain insights into the approach of treating ILP as a satisfiability problem, understand ILP problem instances, and learn about boolean flags associated with generated clauses. Examine Template #1 and its generated clauses with boolean flags, discover the process of selecting boolean variables, and work through an example to identify the solution. Access accompanying slides and the original JAIR'18 paper for further study. Enhance your understanding of this exciting intersection between symbolic methods and deep learning in artificial intelligence.

Syllabus

Intro
Approach: ILP as Satisfiability
ILP Problem Instance
Boolean Flags Associated with Generated Clauses
Template #1 and Generated Clauses with Boolean Flags
Selecting Boolean Varibles
Example: Identifying the solution

Taught by

Neuro Symbolic

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