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    <title>neat at Yahoo! Groups</title>
    <link>http://tech.groups.yahoo.com/group/neat/</link>
    <description>NEAT Users Group</description>

    <item>
      <title>Re: spawning overflow</title>
      <pubDate>Sat, 21 Nov 2009 11:48:36 GMT</pubDate>
      <dc:creator>Colin Green</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4904</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4904</guid>
      <description>2009/11/20 rvonwahlde &lt;rvonwahlde@...&gt; ... species spawns is greater than the desired ... Hi, I&#39;d strongly recommend taking a look at the sharpneat 2</description>
    </item>
    <item>
      <title>spawning overflow</title>
      <pubDate>Fri, 20 Nov 2009 16:25:37 GMT</pubDate>
      <dc:creator>rvonwahlde</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4903</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4903</guid>
      <description>How do you work around the problem when the total number of children each species spawns is greater than the desired population size? Buckland&#39;s NEAT for</description>
    </item>
    <item>
      <title>Re: F# NEAT</title>
      <pubDate>Thu, 19 Nov 2009 21:46:00 GMT</pubDate>
      <dc:creator>Jeff Haynes</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4902</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4902</guid>
      <description>Hey Ken, thanks for the note.  Yeah, I agree that the parallel extensions are a good alternative.  I am definitely not more comfortable in declarative </description>
    </item>
    <item>
      <title>Re: F# NEAT</title>
      <pubDate>Thu, 19 Nov 2009 20:29:55 GMT</pubDate>
      <dc:creator>Ken Lloyd</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4901</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4901</guid>
      <description>Hi Jeff, F#  tends to be declarative, which is fine if that paradigm is more comfortable for you.  There are .NET Extensions for Parallel Processing if you</description>
    </item>
    <item>
      <title>F# NEAT</title>
      <pubDate>Thu, 19 Nov 2009 19:56:34 GMT</pubDate>
      <dc:creator>Jeff Haynes</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4900</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4900</guid>
      <description>Hi, I&#39;ve been quiet on this group for a long time although I&#39;ve kept my subscription so I remember to play with NEAT once I have free time (presumably</description>
    </item>
    <item>
      <title>Re: Random results</title>
      <pubDate>Tue, 17 Nov 2009 01:53:11 GMT</pubDate>
      <dc:creator>Mark Ahlstrom</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4899</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4899</guid>
      <description>It is normalized.  In full, I&#39;m testing to find the nearest object, then using (200-d)/200.  Since d will range from very small numbers to 200, that gives me a</description>
    </item>
    <item>
      <title>Re: Random results</title>
      <pubDate>Mon, 16 Nov 2009 21:54:04 GMT</pubDate>
      <dc:creator>Ken</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4898</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4898</guid>
      <description>Mark, there is one detail in your setup that sounds potentially very problematic, although it is possible I am misunderstanding.  You say that the sensor is</description>
    </item>
    <item>
      <title>Re: Random results</title>
      <pubDate>Wed, 11 Nov 2009 04:21:46 GMT</pubDate>
      <dc:creator>Mark Ahlstrom</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4897</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4897</guid>
      <description>The food foraging experiment is the dangerous food foraging example from &quot;Evolving Adaptive Neural Networks with and without Adaptive Synapses&quot;.    The sensors</description>
    </item>
    <item>
      <title>Re: Random results</title>
      <pubDate>Wed, 11 Nov 2009 00:02:19 GMT</pubDate>
      <dc:creator>Anthony Ison</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4896</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4896</guid>
      <description>Hi Mark, I&#39;m only a newbie, but I&#39;ve hit similar issues when running some experiments.  In my case, the it was a multi-threading issue.  It highlighted to me</description>
    </item>
    <item>
      <title>Re: Random results</title>
      <pubDate>Tue, 10 Nov 2009 23:43:42 GMT</pubDate>
      <dc:creator>Ken</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4895</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4895</guid>
      <description>Mark, which food foraging experiment are you implementing?  That is, from which paper?  What are the sensors and outputs for your neural networks?   I may be</description>
    </item>
    <item>
      <title>Random results</title>
      <pubDate>Tue, 10 Nov 2009 14:06:26 GMT</pubDate>
      <dc:creator>linteil</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4894</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4894</guid>
      <description>I&#39;ve been trying on and off the last couple months to get a couple control experiments running, and have been getting results that appear to have almost a</description>
    </item>
    <item>
      <title>Re: HyperNEAT Tutorial?</title>
      <pubDate>Tue, 10 Nov 2009 03:45:54 GMT</pubDate>
      <dc:creator>jgmath2000</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4893</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4893</guid>
      <description>Hey Andrei, It&#39;s true that the HyperNEAT experiments are poorly documented and can be confusing.  This is largely because the HyperNEAT algorithm itself has</description>
    </item>
    <item>
      <title>Re: HyperNEAT Tutorial?</title>
      <pubDate>Mon, 09 Nov 2009 21:09:28 GMT</pubDate>
      <dc:creator>Ken</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4892</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4892</guid>
      <description>Yes I would advise starting out with NEAT to get familiar with it.  However, we can also look into improving the understandability of the HyperNEAT C&#43;&#43;</description>
    </item>
    <item>
      <title>Re: Odd speciation behaviour</title>
      <pubDate>Mon, 09 Nov 2009 20:15:30 GMT</pubDate>
      <dc:creator>rvonwahlde</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4891</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4891</guid>
      <description>Buckland&#39;s NEAT for windows code uses the Adjusted Fitness to calculate Span Amount.  Is this incorrect? In CSpecies::AdjustFitnesses(), for each member of a</description>
    </item>
    <item>
      <title>Re: Odd speciation behaviour</title>
      <pubDate>Mon, 09 Nov 2009 19:44:15 GMT</pubDate>
      <dc:creator>rvonwahlde</dc:creator>
      <link>http://tech.groups.yahoo.com/group/neat/message/4890</link>
      <guid isPermaLink="true">http://tech.groups.yahoo.com/group/neat/message/4890</guid>
      <description>Buckland&#39;s NEAT for windows code uses the Adjusted Fitness to calculate Span Amount.  Is this incorrect? In CSpecies::AdjustFitnesses(), for each member of a</description>
    </item>

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