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	<title>Comments on: A new blueprint for artificial general intelligence</title>
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	<link>http://www.kurzweilai.net/a-new-blueprint-for-artificial-general-intelligence</link>
	<description>Accelerating Intelligence</description>
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		<title>By: DWCrmcm</title>
		<link>http://www.kurzweilai.net/a-new-blueprint-for-artificial-general-intelligence/comment-page-1#comment-1465</link>
		<dc:creator>DWCrmcm</dc:creator>
		<pubDate>Sat, 13 Nov 2010 22:36:48 +0000</pubDate>
		<guid isPermaLink="false">http://www.kurzweilai.net/?p=97332#comment-1465</guid>
		<description>I disagree with both of the above. AGI is eminently doable just not in the contemporary design of bi-directional memory gates (no pun intended).
Three dimensional memory gates mated with a pico-processor can easily emulate the behavior of neurotransmitters synapse and chemical pump trigger. And we can arrange it to use colour as an analog for all current neurotransmitters, and those still to be discovered.</description>
		<content:encoded><![CDATA[<p>I disagree with both of the above. AGI is eminently doable just not in the contemporary design of bi-directional memory gates (no pun intended).<br />
Three dimensional memory gates mated with a pico-processor can easily emulate the behavior of neurotransmitters synapse and chemical pump trigger. And we can arrange it to use colour as an analog for all current neurotransmitters, and those still to be discovered.</p>
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		<title>By: trgnair</title>
		<link>http://www.kurzweilai.net/a-new-blueprint-for-artificial-general-intelligence/comment-page-1#comment-435</link>
		<dc:creator>trgnair</dc:creator>
		<pubDate>Sat, 14 Aug 2010 12:21:32 +0000</pubDate>
		<guid isPermaLink="false">http://www.kurzweilai.net/?p=97332#comment-435</guid>
		<description>It has become increasingly a trend to call any processing element like molecule, that is capable of changing from one state to another a &#039;Computer&#039;, and collecting a few hundreds of them and call them parallel COMPUTER. It doesn’t stop there, without proper state space modeling and synthetic abstraction of collective processing properties on n mass neuronal interconnected system properly modeled, taking photographs of NMR response and comparing it with fractals to say processing is done. Also, in this case using finite state automata, a brain property is getting generated - &#039;if at all it works in congruence with self adaptive learned state of neurons it tries to display&#039; with algorithms of  digital format avoiding cognitive state transitional  property which produces millions learned states using same units of neuronal clusters. One must note that the learning, inferring, comparing and congruency checking all are happening with the same  links and autonomous nodes which are already published recently by experts in KEOD 2010. So mimicking learning, for a particular case or set of cases of common template properties can not be taken as brain replica or simulation or achievement beyond thinking it is good  for another game in present computers.</description>
		<content:encoded><![CDATA[<p>It has become increasingly a trend to call any processing element like molecule, that is capable of changing from one state to another a &#8216;Computer&#8217;, and collecting a few hundreds of them and call them parallel COMPUTER. It doesn’t stop there, without proper state space modeling and synthetic abstraction of collective processing properties on n mass neuronal interconnected system properly modeled, taking photographs of NMR response and comparing it with fractals to say processing is done. Also, in this case using finite state automata, a brain property is getting generated &#8211; &#8216;if at all it works in congruence with self adaptive learned state of neurons it tries to display&#8217; with algorithms of  digital format avoiding cognitive state transitional  property which produces millions learned states using same units of neuronal clusters. One must note that the learning, inferring, comparing and congruency checking all are happening with the same  links and autonomous nodes which are already published recently by experts in KEOD 2010. So mimicking learning, for a particular case or set of cases of common template properties can not be taken as brain replica or simulation or achievement beyond thinking it is good  for another game in present computers.</p>
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		<title>By: nfordkai</title>
		<link>http://www.kurzweilai.net/a-new-blueprint-for-artificial-general-intelligence/comment-page-1#comment-426</link>
		<dc:creator>nfordkai</dc:creator>
		<pubDate>Thu, 12 Aug 2010 17:03:04 +0000</pubDate>
		<guid isPermaLink="false">http://www.kurzweilai.net/?p=97332#comment-426</guid>
		<description>There&#039;s not much in this article on which to base comments, but my belief is that it doesn&#039;t make sense to try to get computer-based AGI to work the way the brain does. The computer has so many advantages over the brain that it would be ridiculous to ignore them by designing AIG to mimic the way the brain works.

Among the advantages of the computer are speed (of a single communication), perfect memory of virtually infinite duration, unlimited memory capacity, the ability to work 24/7/365 without rest and with tight coordination with other machines working the same, and the ability to create more efficient, stand-alone programs (connected to but not integrated into the AGi) for specific purposes, such as playing chess, designing aircraft, etc., rather than creating such &quot;programs&quot; the way the brain does by cobbling together patterns of memory locations.</description>
		<content:encoded><![CDATA[<p>There&#8217;s not much in this article on which to base comments, but my belief is that it doesn&#8217;t make sense to try to get computer-based AGI to work the way the brain does. The computer has so many advantages over the brain that it would be ridiculous to ignore them by designing AIG to mimic the way the brain works.</p>
<p>Among the advantages of the computer are speed (of a single communication), perfect memory of virtually infinite duration, unlimited memory capacity, the ability to work 24/7/365 without rest and with tight coordination with other machines working the same, and the ability to create more efficient, stand-alone programs (connected to but not integrated into the AGi) for specific purposes, such as playing chess, designing aircraft, etc., rather than creating such &#8220;programs&#8221; the way the brain does by cobbling together patterns of memory locations.</p>
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