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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Modeling Creativity: Case Studies in Python · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1410.0281/</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/1410.0281/feed.xml" rel="self" type="application/rss+xml" /><item><title>Modeling Creativity: Case Studies in Python — mentioned by tomdesmedt</title><link>https://news.ycombinator.com/item?id=9567311</link><guid isPermaLink="false">urn:hackerpapers:mention:1410.0281:9567311</guid><pubDate>Mon, 18 May 2015 22:58:38 GMT</pubDate><description>&lt;p&gt;Hi. As the author of the article, here’s some background information. This article was written in 2012 as part of my PhD dissertation (http://arxiv.org/pdf/1410.0281), which consists of a number of computational creativity experiments and case studies, using the Pattern toolkit for Python (http://www.clips.uantwerpen.be/pattern). The article is not exhaustive, for example it does not cite Cyc or WordNet, although WordNet is used in another experiment in the book to generate poetry. The limitations and simplifications of each case study in the book – of which I’m well aware – are outlined in…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1410.0281/"&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>
