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	<title>Some stuff &#187; experiential knowledge</title>
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		<title>watson v. mit</title>
		<link>https://blog.yhuang.org/?p=306</link>
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		<pubDate>Thu, 17 Feb 2011 02:52:42 +0000</pubDate>
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				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[common sense]]></category>
		<category><![CDATA[condition]]></category>
		<category><![CDATA[experiential knowledge]]></category>
		<category><![CDATA[general purpose]]></category>
		<category><![CDATA[image]]></category>
		<category><![CDATA[knowledge]]></category>
		<category><![CDATA[mit]]></category>
		<category><![CDATA[sense knowledge]]></category>
		<category><![CDATA[watson]]></category>

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		<description><![CDATA[So being at the event captured in the image, I got to ask a question toward the end. Actually I asked two questions. The first was whether Watson would ring in and use the remaining 3 seconds or whatever to continue to compute. Gondek said it would if it helped. In actual competition it doesn&#8217;t [...]]]></description>
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<p>So being at the event <a href="http://www.boston.com/business/technology/articles/2011/02/15/computer_holds_its_own_in_1st_jeopardy_contest/">captured in the image</a>, I got to ask a question toward the end. Actually I asked two questions. The first was whether Watson would ring in and use the remaining 3 seconds or whatever to continue to compute. Gondek said it would if it helped. In actual competition it doesn&#8217;t appear to be the case, as the buzz-in thresholding condition ensured that further computation would not have been helpful. The second question was a follow-up on the identified weakness of Watson &#8212; learning on &#8220;common sense&#8221; knowledge. I asked what path AI research would take to tackle such knowledge, which are by its very definition, &#8220;not in the books.&#8221; Gondek said that IBM is building up semantic information (e.g. a &#8220;report&#8221; is something that can be &#8220;turned in&#8221; and &#8220;assessed,&#8221; etc.) from corpus. That wasn&#8217;t exactly what I was asking, however.</p>
<p>My point was whether all &#8220;knowledge&#8221; is written down. There is such a thing as experiential &#8220;knowledge,&#8221; and humans take years to learn it/be trained in it through parenting (i.e., to &#8220;mature&#8221;). If only there were a handbook on life, or that life could be learned through reading a series of textbooks, then perhaps I&#8217;d believe that the kind of general-purpose AI that most people are probably imagining (rather than an expert/Q&#038;A system) can be achieved along the lines of current methods.</p>
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