<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Christian, Brian on Wijnand Baretta</title><link>https://wijnandbaretta.com/authors/christian-brian/</link><description>Recent content in Christian, Brian on Wijnand Baretta</description><image><title>Wijnand Baretta</title><url>https://wijnandbaretta.com/images/og-default.png</url><link>https://wijnandbaretta.com/images/og-default.png</link></image><generator>Hugo -- 0.152.2</generator><language>en</language><lastBuildDate>Tue, 02 Oct 2018 00:00:00 +0000</lastBuildDate><atom:link href="https://wijnandbaretta.com/authors/christian-brian/index.xml" rel="self" type="application/rss+xml"/><item><title>Algorithms to Live By: The Computer Science of Human Decisions</title><link>https://wijnandbaretta.com/books/algorithms-to-live-by-the-computer-science-of-human-decisions/</link><pubDate>Tue, 02 Oct 2018 00:00:00 +0000</pubDate><guid>https://wijnandbaretta.com/books/algorithms-to-live-by-the-computer-science-of-human-decisions/</guid><description>&lt;h1 id="overview-of-algorithms-to-live-by-the-computer-science-of-human-decisions"&gt;Overview of &lt;em&gt;Algorithms to Live By: The Computer Science of Human Decisions&lt;/em&gt;&lt;/h1&gt;
&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;&lt;em&gt;Algorithms to Live By: The Computer Science of Human Decisions&lt;/em&gt;, written by Brian Christian and Tom Griffiths, explores how fundamental concepts from computer science can be applied to human decision-making in everyday life. The book delves into a range of algorithms and examines their utility in solving real-world problems, offering insights from fields such as operations research, mathematics, and cognitive science. The authors discuss various topics like optimal stopping, explore/exploit trade-offs, caching, and scheduling, illuminating how these principles can efficiently guide personal and professional decisions.&lt;/p&gt;</description></item></channel></rss>