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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Complex behavior from intrinsic motivation to occupy action-state path space · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2205.10316/</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/2205.10316/feed.xml" rel="self" type="application/rss+xml" /><item><title>Complex behavior from intrinsic motivation to occupy action-state path space — mentioned by cryptonector</title><link>https://news.ycombinator.com/item?id=40409283</link><guid isPermaLink="false">urn:hackerpapers:mention:2205.10316:40409283</guid><pubDate>Sun, 19 May 2024 19:43:28 GMT</pubDate><description>&lt;p&gt;&amp;gt; To date computers (and AI in general) operate prevalently in an input-output mode. This is strikingly not the case for the human brain which works in a projective – or predictive - mode constantly testing hypotheses (or pre-representations) on the world including itself (J.-P. Changeux, 1986; Friston et al., 2016; Pezzulo, Parr, Cisek, Clark, &amp;amp; Friston, 2024). This projective/predictive mode relies on the fact that the brain possesses an intrinsic - spontaneous – activity (Dehaene &amp;amp; Changeux, 2005). The earliest forms of animals do exhibit a nervous system where spontaneously active neurons…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2205.10316/"&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>
