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	<title>Brent Sordyl&#039;s blog &#187; ai</title>
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		<title>Brent Sordyl&#039;s blog &#187; ai</title>
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		<title>Clive Thompson on Gadgets That Know How We Feel &#124; Magazine</title>
		<link>http://sordyl.info/2010/11/08/links1-897/</link>
		<comments>http://sordyl.info/2010/11/08/links1-897/#comments</comments>
		<pubDate>Mon, 08 Nov 2010 16:00:03 +0000</pubDate>
		<dc:creator>Brent Sordyl</dc:creator>
				<category><![CDATA[ai]]></category>
		<category><![CDATA[e-learning]]></category>

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		<description><![CDATA[These programs work pretty well: Children using an autotutor for math progress much faster than those who get just a regular textbook or are stuck in a crowded classroom with no one-on-one instruction. There’s one snag, though: Autotutors can’t tell when a student is bored or frustrated. A regular teacher can spot this instantly and [&#8230;]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=sordyl.info&#038;blog=18708468&#038;post=2872&#038;subd=sordyl&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
				<content:encoded><![CDATA[<p>
These programs work pretty well: Children using an autotutor for math progress much faster than those who get just a regular textbook or are stuck in a crowded classroom with no one-on-one instruction.</p>
<p>There’s one snag, though: Autotutors can’t tell when a student is bored or frustrated. A regular teacher can spot this instantly and intervene. So Woolf decided to tackle the problem by designing a computer that senses emotion.<br />
(Link: <a class="deliciouslink" href="http://www.wired.com/magazine/2010/11/st_thompson_emotionalgadget/" title="Clive Thompson on Gadgets That Know How We Feel | Magazine" target="_blank">Clive Thompson on Gadgets That Know How We Feel | Magazine</a>)</p>
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		<title>Drools Guvnor &#8211; JBoss Community</title>
		<link>http://sordyl.info/2010/02/25/links3-202/</link>
		<comments>http://sordyl.info/2010/02/25/links3-202/#comments</comments>
		<pubDate>Thu, 25 Feb 2010 15:00:02 +0000</pubDate>
		<dc:creator>Brent Sordyl</dc:creator>
				<category><![CDATA[ai]]></category>
		<category><![CDATA[drools]]></category>
		<category><![CDATA[guvnor]]></category>
		<category><![CDATA[java]]></category>
		<category><![CDATA[jboss]]></category>
		<category><![CDATA[rulesengine]]></category>

		<guid isPermaLink="false">http://sordyl.wordpress.com/2010/02/25/links3-202</guid>
		<description><![CDATA[Drools Guvnor is a centralised repository for Drools Knowledge Bases, with rich web based GUIs, editors, and tools to aid in the management of large numbers of rules. As you know, Drools allows you to create executable knowledge bases. The repository component is where you can store versions of rules, models, functions, processes etc that [&#8230;]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=sordyl.info&#038;blog=18708468&#038;post=2189&#038;subd=sordyl&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
				<content:encoded><![CDATA[<p>
Drools Guvnor is a centralised repository for Drools Knowledge Bases, with rich web based GUIs, editors, and tools to aid in the management of large numbers of rules. As you know, Drools allows you to create executable knowledge bases. The repository component is where you can store versions of rules, models, functions, processes etc that all relate to these knowledge bases. Access is controlled, and it is possible to lock down access and restrict features so domain experts (non programmers) can view and edit rules without being exposed to all the features at once.</p>
<p>You would want to use Guvnor if</p>
<p>    * You have a need to control access to rules and other artifacts<br />
    * Have a variety of non programmer users who could use graphical editors to edit rules<br />
    * Need to manage versions and changes to the rules over time (and you probably have a lot of rules !).<br />
(Link: <a class="deliciouslink" href="http://www.jboss.org/drools/drools-guvnor.html" title="Drools Guvnor - JBoss Community" target="_blank">Drools Guvnor &#8211; JBoss Community</a>)</p>
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		<title>Bayesian Classification on Rails &#124; Logan Koester</title>
		<link>http://sordyl.info/2010/01/27/links1-503/</link>
		<comments>http://sordyl.info/2010/01/27/links1-503/#comments</comments>
		<pubDate>Wed, 27 Jan 2010 15:00:04 +0000</pubDate>
		<dc:creator>Brent Sordyl</dc:creator>
				<category><![CDATA[ai]]></category>
		<category><![CDATA[bayesian]]></category>
		<category><![CDATA[ruby]]></category>
		<category><![CDATA[rubyonrails]]></category>

		<guid isPermaLink="false">http://sordyl.wordpress.com/2010/01/27/links1-503</guid>
		<description><![CDATA[As anyone who uses Twitter can attest, even with some very specific search terms, language filtering and geocoding, there is going to be a lot of white noise. I decided to take this one step further. Bayesian classification (your garden-variety spam filter) in ruby is quite easy, thanks to ruby-stemmer and the excellent classifier gem. [&#8230;]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=sordyl.info&#038;blog=18708468&#038;post=2037&#038;subd=sordyl&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
				<content:encoded><![CDATA[<p>
As anyone who uses Twitter can attest, even with some very specific search terms, language filtering and geocoding, there is going to be a lot of white noise. I decided to take this one step further.</p>
<p>Bayesian classification (your garden-variety spam filter) in ruby is quite easy, thanks to ruby-stemmer and the excellent classifier gem. The canonical example:<br />
(Link: <a class="deliciouslink" href="http://blog.logankoester.com/bayesian-classification-on-rails" title="Bayesian Classification on Rails | Logan Koester" target="_blank">Bayesian Classification on Rails | Logan Koester</a>)</p>
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		<title>Eureqa &#8211; software tool for detecting equations and hidden mathematical relationships in your data</title>
		<link>http://sordyl.info/2009/12/05/links2-235/</link>
		<comments>http://sordyl.info/2009/12/05/links2-235/#comments</comments>
		<pubDate>Sat, 05 Dec 2009 17:00:04 +0000</pubDate>
		<dc:creator>Brent Sordyl</dc:creator>
				<category><![CDATA[ai]]></category>
		<category><![CDATA[mathematics]]></category>
		<category><![CDATA[statistics]]></category>

		<guid isPermaLink="false">http://sordyl.wordpress.com/2009/12/05/links2-235</guid>
		<description><![CDATA[Eureqa is a software tool for detecting equations and hidden mathematical relationships in your data. Its primary goal is to identify the simplest mathematical formulas which could describe the underlying mechanisms that produced the data. Eureqa is free to download and use. Below you will find the program download, video tutorial, user forum, and other [&#8230;]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=sordyl.info&#038;blog=18708468&#038;post=1837&#038;subd=sordyl&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
				<content:encoded><![CDATA[<p>
Eureqa is a software tool for detecting equations and hidden mathematical relationships in your data. Its primary goal is to identify the simplest mathematical formulas which could describe the underlying mechanisms that produced the data. Eureqa is free to download and use. Below you will find the program download, video tutorial, user forum, and other and reference materials.<br />
(Link: <a class="deliciouslink" href="http://ccsl.mae.cornell.edu/eureqa" title="Eureqa - software tool for detecting equations and hidden mathematical relationships in your data" target="_blank">Eureqa &#8211; software tool for detecting equations and hidden mathematical relationships in your data</a>)</p>
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		<title>The Future of Artificial Intelligence &#8211; NYTimes.com</title>
		<link>http://sordyl.info/2009/05/24/links2-59/</link>
		<comments>http://sordyl.info/2009/05/24/links2-59/#comments</comments>
		<pubDate>Sun, 24 May 2009 15:00:07 +0000</pubDate>
		<dc:creator>Brent Sordyl</dc:creator>
				<category><![CDATA[ai]]></category>

		<guid isPermaLink="false">http://sordyl.wordpress.com/2009/05/24/links2-59</guid>
		<description><![CDATA[Today, artificial intelligence, once the preserve of science fiction writers and eccentric computer prodigies, is back in fashion and getting serious attention from NASA and from Silicon Valley companies like Google as well as a new round of start-ups that are designing everything from next-generation search engines to machines that listen or that are capable [&#8230;]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=sordyl.info&#038;blog=18708468&#038;post=975&#038;subd=sordyl&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
				<content:encoded><![CDATA[<p>
Today, artificial intelligence, once the preserve of science fiction writers and eccentric computer prodigies, is back in fashion and getting serious attention from NASA and from Silicon Valley companies like Google as well as a new round of start-ups that are designing everything from next-generation search engines to machines that listen or that are capable of walking around in the world. A.I.’s new respectability is turning the spotlight back on the question of where the technology might be heading and, more ominously, perhaps, whether computer intelligence will surpass our own, and how quickly.<br />
(Link: <a class="deliciouslink" href="http://www.nytimes.com/2009/05/24/weekinreview/24markoff.html?_r=1&amp;partner=rss&amp;emc=rss" title="The Future of Artificial Intelligence - NYTimes.com" target="_blank">The Future of Artificial Intelligence &#8211; NYTimes.com</a>)</p>
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