arXiv AI

Explaining Weather Bulletins via ILP

arXiv:2607. 21184v1 Announce Type: new Abstract: Inductive Logic Programming (ILP) originated within the Logic Programming community in the Nineties as a framework for combining symbolic learning with declarative knowledge representation.

arXiv AI
Jul 7

STRATOS: Bridging the Symbolic-to-Numeric Gap in Spatio-Temporal Text-to-SQL for Meteorological Data

arXiv:2607. 03501v1 Announce Type: cross Abstract: Copernicus, the European Union's Earth observation program, produces petabytes of Earth observation and climate data, offering immense potential for research, policy, and applications.

By Yi Zhang, Farhad Nooralahzadeh, Jonathan F\"urst, Fabio Scherrer, Antonis Bezes, Vassiliki Kotroni, Kurt Stockinger
arXiv AI
Jul 7

HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis

arXiv:2603. 01121v2 Announce Type: replace Abstract: While deep learning-based weather forecasting paradigms have made significant strides, addressing extreme weather diagnostics remains a formidable challenge.

By Shuo Tang, Jiadong Zhang, Gengxian Zhou, Qizhao Jin, Qinxuan Wang, Yi Hu, Ning Hu, Hongchang Ren, Lingli He, Shiming Xiang, Jingtao Ding, Jian Xu, Jiaolan Fu, Cheng-Lin Liu
arXiv AI
Jun 9

Standpoint Logics with Defeasible Beliefs

arXiv:2606. 08503v1 Announce Type: new Abstract: In this paper, we integrate the defeasible logic of Kraus, Lehmann and Magidor (KLM) with the standpoint logic framework of G\'omez \'Alvarez and Rudolph.

By Nicholas Leisegang, Thomas Meyer, Sebastian Rudolph
arXiv AI
Jul 28

An Unofficial FastLAS Tutorial: A Programmer's Guide

arXiv:2607. 23557v1 Announce Type: cross Abstract: FastLAS is a scalable system for Inductive Logic Programming (ILP): you give it some background knowledge, a language bias, and a set of examples, and it searches for a set of logic program rules (a hypothesis) that explains the examples.

By Fabio Aurelio D'Asaro