# Integrated Algorithms for HEX-Programs and Applications in Machine Learning

## TL;DR

This paper presents integrated evaluation algorithms for HEX-programs, enhancing their efficiency and applicability in machine learning by combining various subprocesses like solving, external calls, and grounding.

## Contribution

It introduces novel integrated algorithms for HEX-program evaluation and demonstrates their application in machine learning contexts.

## Key findings

- Improved evaluation efficiency for HEX-programs.
- Successful application of HEX-programs in machine learning tasks.
- Enhanced integration of subprocesses in HEX-evaluation.

## Abstract

This paper summarizes my doctoral research on evaluation algorithms for HEX-programs, which extend Answer Set Programming with means for interfacing external computations. The focus is on integrating different subprocesses of HEX-evaluation, such as solving and external calls as well as grounding, and on applications of HEX-programs in the area of Machine Learning.