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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Semantic information, autonomous agency, and nonequilibrium statistical physics · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1806.08053/</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/1806.08053/feed.xml" rel="self" type="application/rss+xml" /><item><title>Semantic information, autonomous agency, and nonequilibrium statistical physics — mentioned by 2-tpg</title><link>https://news.ycombinator.com/item?id=26187079</link><guid isPermaLink="false">urn:hackerpapers:mention:1806.08053:26187079</guid><pubDate>Thu, 18 Feb 2021 23:03:56 GMT</pubDate><description>&lt;p&gt;Recent work in information theory has formalized the concept of semantic information, where Shannon deliberately avoided semantics, and focused purely on the information content. They define semantic information as: Information which helps an object stay away from thermodynamic equilibrium (no different from entropic noise). Information then has meaning for a receiver if it helps them stay alive. The very same message may be completely &amp;quot;meaningless&amp;quot; to another receiver. https://arxiv.org/abs/1806.08053 Semantic information, autonomous agency, and nonequilibrium statistical physics &amp;gt; Shannon…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1806.08053/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cond-mat.stat-mech</category></item><item><title>Semantic information, autonomous agency, and nonequilibrium statistical physics — mentioned by princeofwands</title><link>https://news.ycombinator.com/item?id=19029897</link><guid isPermaLink="false">urn:hackerpapers:mention:1806.08053:19029897</guid><pubDate>Tue, 29 Jan 2019 21:22:16 GMT</pubDate><description>&lt;p&gt;Shannon information deliberately only concerns syntactic information (information content). Other, more recent work, focuses on semantic information (information with meaning for a receiver). &amp;gt; Shannon information theory provides various measures of so-called &amp;quot;syntactic information&amp;quot;, which reflect the amount of statistical correlation between systems. In contrast, the concept of &amp;quot;semantic information&amp;quot; refers to those correlations which carry significance or &amp;quot;meaning&amp;quot; for a given system. Semantic information plays an important role in many fields, including biology, cognitive science, and…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1806.08053/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cond-mat.stat-mech</category></item></channel></rss>
