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.
@article{arxiv.1905.02428,
title = {Integrated Algorithms for HEX-Programs and Applications in Machine Learning},
author = {Tobias Kaminski},
journal= {arXiv preprint arXiv:1905.02428},
year = {2019}
}
Comments
7 pages, submitted for the Doctoral Consortium at the 15th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2019)