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	<title>Comments on: The Competitive Edge: Minds on the Brink of Chaos</title>
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		<title>By: Inside our Aquarium &#124; Three Sigma Systems</title>
		<link>http://www.3sigma.com/the-competitive-edge-living-on-the-brink-of-chaos/comment-page-1/#comment-214</link>
		<dc:creator>Inside our Aquarium &#124; Three Sigma Systems</dc:creator>
		<pubDate>Thu, 09 Jul 2009 18:43:31 +0000</pubDate>
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		<description>[...] properties of the brain. I was excited enough about his contribution to blog it as &#8221;The Competitive Edge: Minds on the Brink of Chaos&#8220;. In this entry I am sharing a follow-on contribution that I authored to Randy that caused a [...]</description>
		<content:encoded><![CDATA[<p>[...] properties of the brain. I was excited enough about his contribution to blog it as &#8221;The Competitive Edge: Minds on the Brink of Chaos&#8220;. In this entry I am sharing a follow-on contribution that I authored to Randy that caused a [...]</p>
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		<title>By: marc</title>
		<link>http://www.3sigma.com/the-competitive-edge-living-on-the-brink-of-chaos/comment-page-1/#comment-207</link>
		<dc:creator>marc</dc:creator>
		<pubDate>Mon, 06 Jul 2009 03:14:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.3sigma.com/?p=1650#comment-207</guid>
		<description>Chaos does represent unpredictability. The relationship between randomness and chaos is fuzzy. Chaos implies intractable complexity which is a function in part, of randomness. &quot;True: randomness has been explained in terms of Brownian motion. Is such motion &quot;truly&quot; random or is it better described as chaotic? I am not certain about the truth value in this example. 

The idea of prediction within limits is consistent with the sand pile and avalanche examples (both are routinely predicted within limits) as well as with the propagation of the firing of neurons. All of these ate predictable within limits, once the system boundaries are stated. I think that the non-scientist author understand this, as do the authors of the research to which the article refers.

I should also add the idea that we could accurately predict the behavior of chaotic systems&#039; if we could only measure and calculate enough of the variables and their interactions is, in my view, fundamentally erroneous. This represents a fundamental misunderstanding of the meaning of a chaotic system. </description>
		<content:encoded><![CDATA[<p>Chaos does represent unpredictability. The relationship between randomness and chaos is fuzzy. Chaos implies intractable complexity which is a function in part, of randomness. &#8220;True: randomness has been explained in terms of Brownian motion. Is such motion &#8220;truly&#8221; random or is it better described as chaotic? I am not certain about the truth value in this example. </p>
<p>The idea of prediction within limits is consistent with the sand pile and avalanche examples (both are routinely predicted within limits) as well as with the propagation of the firing of neurons. All of these ate predictable within limits, once the system boundaries are stated. I think that the non-scientist author understand this, as do the authors of the research to which the article refers.</p>
<p>I should also add the idea that we could accurately predict the behavior of chaotic systems&#8217; if we could only measure and calculate enough of the variables and their interactions is, in my view, fundamentally erroneous. This represents a fundamental misunderstanding of the meaning of a chaotic system.</p>
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		<title>By: John Dowd</title>
		<link>http://www.3sigma.com/the-competitive-edge-living-on-the-brink-of-chaos/comment-page-1/#comment-206</link>
		<dc:creator>John Dowd</dc:creator>
		<pubDate>Mon, 06 Jul 2009 01:45:21 +0000</pubDate>
		<guid isPermaLink="false">http://www.3sigma.com/?p=1650#comment-206</guid>
		<description>A couple of comments.  The author (not a scientist, I don&#039;t think) equates randomness with a &#039;state of chaos&#039;.  I don&#039;t think that&#039;s the same thing at all.  One of the elements of Shewhart&#039;s theory is that processes behaving randomly can be predictable (within limits).  That is not chaos.

More information on self-organizing networks and the power laws and phase shifts that accompany them can be found studying the topology of networks.  Barabasi&#039;s book, &quot;Linked&quot; is a good starting point.

As for the sand piles mentioned in the article, just because we haven&#039;t yet been able to predict when the &#039;avalanche&#039; occurs does not mean that it&#039;s impossible predict.  It means we don&#039;t know how to predict it.</description>
		<content:encoded><![CDATA[<p>A couple of comments.  The author (not a scientist, I don&#8217;t think) equates randomness with a &#8217;state of chaos&#8217;.  I don&#8217;t think that&#8217;s the same thing at all.  One of the elements of Shewhart&#8217;s theory is that processes behaving randomly can be predictable (within limits).  That is not chaos.</p>
<p>More information on self-organizing networks and the power laws and phase shifts that accompany them can be found studying the topology of networks.  Barabasi&#8217;s book, &#8220;Linked&#8221; is a good starting point.</p>
<p>As for the sand piles mentioned in the article, just because we haven&#8217;t yet been able to predict when the &#8216;avalanche&#8217; occurs does not mean that it&#8217;s impossible predict.  It means we don&#8217;t know how to predict it.</p>
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