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	<title>CoSMoS Research &#187; argumentation</title>
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	<description>Complex Systems Modelling and Simulation Infrastructure</description>
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		<title>New papers coming up</title>
		<link>http://www.cosmos-research.org/new-papers-coming-up/</link>
		<comments>http://www.cosmos-research.org/new-papers-coming-up/#comments</comments>
		<pubDate>Fri, 14 May 2010 09:58:00 +0000</pubDate>
		<dc:creator>Teodor Ghetiu</dc:creator>
				<category><![CDATA[CoSMoS]]></category>
		<category><![CDATA[argumentation]]></category>
		<category><![CDATA[complexity]]></category>
		<category><![CDATA[Evolution]]></category>
		<category><![CDATA[hierarcy]]></category>
		<category><![CDATA[swarm robotics]]></category>
		<category><![CDATA[validation]]></category>

		<guid isPermaLink="false">http://www.cosmos-research.org/?p=646</guid>
		<description><![CDATA[<p>Hello everyone!

Here are two new papers being prepared for press, by your very own CoSMoS researchers. Topics range from evolution and swarm robotics, to validation and structured means of argumentation.</p>
<p>Endulge  !</p>

Exploiting Loose Horizontal Coupling in Evolutionary Swarm Robotics &#8211; <a title="ANTS 2010" href="http://iridia.ulb.ac.be/ants2010/">ANTS 2010</a> </p>
<p>Jenny Owen, Susan Stepney, Jon Timmis and Alan Winfield</p>
<p><em>Abstract</em>: &#8220;We describe a theory from Herbert Simon that links the structure of  complex systems to increased speed of evolution, and argue the position  that this theory can be beneficial to evolutionary swarm robotic research.
We propose a way of applying this theory to evolutionary swarm robotic  systems by manually designing the robot to robot communication  mechanisms and keeping these constant, whilst evolving the rest of the  robots&#8217; behaviours. This allows for robots to evolve independently of  each other without breaking any inter-dependencies that may exist  between robots in the swarm. Finally [...]]]></description>
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		<title>When Argumentation meets Science</title>
		<link>http://www.cosmos-research.org/when-argumentation-meets-science/</link>
		<comments>http://www.cosmos-research.org/when-argumentation-meets-science/#comments</comments>
		<pubDate>Wed, 10 Mar 2010 19:51:07 +0000</pubDate>
		<dc:creator>Teodor Ghetiu</dc:creator>
				<category><![CDATA[Research]]></category>
		<category><![CDATA[argumentation]]></category>
		<category><![CDATA[CoSMoS]]></category>
		<category><![CDATA[GSN]]></category>
		<category><![CDATA[plant ecology]]></category>
		<category><![CDATA[science]]></category>

		<guid isPermaLink="false">http://www.cosmos-research.org/?p=448</guid>
		<description><![CDATA[<p>Science is, in theory, &#8220;nice and principled&#8221;. We have the <a href="http://en.wikipedia.org/wiki/Scientific_method">scientific method</a> to guide experimentation, we have <a href="http://en.wikipedia.org/wiki/Null_hypothesis">null hypothesis testing</a>, so one could say nothing can really go wrong. What we get is what is &#8220;out there&#8221;. That is in theory, of course&#8230;</p>
<p>Coming back to good-old reality, things are not exactly perfect. First of all, we have the omnipresent sampling effect &#8211; our <em>certainty</em> over particular experimental results is always limited by measurement errors. Secondly, the way data is aggregated and conclusions drawn, may be <em>biased: </em>assumptions taken for granted, methods that are not really applicable to the given context, etc. <em>Transparency</em> is an issue. Finally, one of the biggest fish in the pond is the issue of <em>scaling</em>: drawing conclusions for large-scale systems, from small-scale observations.</p>
<p>From all this cloud of dust, argumentation techniques come to the rescue. They have been around for some time, especially in the domain [...]]]></description>
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