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	<title>Comments on: Edelman on neural darwinism and consciousness</title>
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	<link>http://mindhacks.com/2007/07/10/edelman-on-neural-darwinism-and-consciousness/</link>
	<description>Neuroscience and psychology news and views.</description>
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		<title>By: Blake Stacey</title>
		<link>http://mindhacks.com/2007/07/10/edelman-on-neural-darwinism-and-consciousness/#comment-7264</link>
		<dc:creator><![CDATA[Blake Stacey]]></dc:creator>
		<pubDate>Wed, 11 Jul 2007 17:49:43 +0000</pubDate>
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		<description><![CDATA[That interview is a little confusing.  First, Edelman tears down the dualist dichotomy between mind and brain; then, he builds up a new dichotomy between &quot;brains&quot; and &quot;computers&quot;; finally, he undermines **that** dichotomy by saying that &quot;algorithms&quot; can &quot;give you identical behavior&quot; to real neurons.
For some reason I don&#039;t quite fathom, Edelman classifies his &quot;brain based devices&quot; outside of artificial intelligence, whereas (in my experience) AI is typically an umbrella term covering expert systems, neural networks and lots of other stuff.  Speaking not entirely tongue-in-cheek, one could say that a technique becomes not-AI once it works reliably:  Google would have been considered &quot;artificial intelligence&quot; in 1985.
Edelman states that a Turing machine &quot;can&#039;t tolerate error,&quot; which just doesn&#039;t make any sense.  Such a claim ignores everything Claude Shannon discovered about fault-tolerant communication, first of all.
&quot;The brain isn&#039;t a computer,&quot; Edelman says, &quot;but we&#039;re simulating it in a computer.&quot;  Doesn&#039;t the fact that one can build such a simulation really mean that the distinction between &quot;brains&quot; and &quot;computers&quot; is not valid?
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		<content:encoded><![CDATA[<p>That interview is a little confusing.  First, Edelman tears down the dualist dichotomy between mind and brain; then, he builds up a new dichotomy between &#8220;brains&#8221; and &#8220;computers&#8221;; finally, he undermines **that** dichotomy by saying that &#8220;algorithms&#8221; can &#8220;give you identical behavior&#8221; to real neurons.<br />
For some reason I don&#8217;t quite fathom, Edelman classifies his &#8220;brain based devices&#8221; outside of artificial intelligence, whereas (in my experience) AI is typically an umbrella term covering expert systems, neural networks and lots of other stuff.  Speaking not entirely tongue-in-cheek, one could say that a technique becomes not-AI once it works reliably:  Google would have been considered &#8220;artificial intelligence&#8221; in 1985.<br />
Edelman states that a Turing machine &#8220;can&#8217;t tolerate error,&#8221; which just doesn&#8217;t make any sense.  Such a claim ignores everything Claude Shannon discovered about fault-tolerant communication, first of all.<br />
&#8220;The brain isn&#8217;t a computer,&#8221; Edelman says, &#8220;but we&#8217;re simulating it in a computer.&#8221;  Doesn&#8217;t the fact that one can build such a simulation really mean that the distinction between &#8220;brains&#8221; and &#8220;computers&#8221; is not valid?</p>
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		<title>By: Blake Stacey</title>
		<link>http://mindhacks.com/2007/07/10/edelman-on-neural-darwinism-and-consciousness/#comment-7263</link>
		<dc:creator><![CDATA[Blake Stacey]]></dc:creator>
		<pubDate>Wed, 11 Jul 2007 17:26:59 +0000</pubDate>
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		<description><![CDATA[&quot;. . . based on the same principle.&quot;
]]></description>
		<content:encoded><![CDATA[<p>&#8220;. . . based on the same principle.&#8221;</p>
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