Integrated Algorithms for HEX-Programs and Applications in Machine Learning

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.

7 pages, submitted for the Doctoral Consortium at the 15th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2019)