<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Iterative Learning of Answer Set Programs from Context Dependent Examples · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1608.01946/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1608.01946/feed.xml" rel="self" type="application/rss+xml" /><item><title>Iterative Learning of Answer Set Programs from Context Dependent Examples — mentioned by YeGoblynQueenne</title><link>https://news.ycombinator.com/item?id=17113583</link><guid isPermaLink="false">urn:hackerpapers:mention:1608.01946:17113583</guid><pubDate>Sun, 20 May 2018 16:42:16 GMT</pubDate><description>&lt;p&gt;To be honest, I&amp;#x27;m not terribly familiar with the bibliography on learning AS programs, but you could look for work on ASPAL, ILASP and ILASP2 by Alessandra Russo, Mark Law and Krysia Broda. The following are relevant, but not exhaustive and probably not the first papers discussing this but you can follow the refs :) Learning Through Hypothesis Refinement Using Answer Set Programming https://link.springer.com/content/pdf/10.1007%2F978-3-662-44... Iterative Learning of Answer Set Programs from Context Dependent Examples https://arxiv.org/pdf/1608.01946v1.pdf Learning Weak Constraints in Answer…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1608.01946/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
