thanks Sam,<br><br>this may be the case, but I see a lot of network theory literature, for example the much cited Reed's law, which ignores human volition ..<br><br><div class="gmail_quote">On Mon, Sep 5, 2011 at 12:14 PM, Samuel Rose <span dir="ltr"><<a href="mailto:samuel.rose@gmail.com">samuel.rose@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;"><div class="im">On Mon, Sep 5, 2011 at 12:54 AM, Michel Bauwens<br>
<<a href="mailto:michel@p2pfoundation.net">michel@p2pfoundation.net</a>> wrote:<br>
> Dear TOmas,<br>
><br>
> This is quite important in my opinion with network theory finally including<br>
> human volition and abandoning reductionism,<br>
><br>
> I really hope you can look into this for discussion at our blog,<br>
><br>
> see <a href="http://gfbertini.wordpress.com/2011/09/03/wisdom-about-crowds/" target="_blank">http://gfbertini.wordpress.com/2011/09/03/wisdom-about-crowds/</a> ;<br>
> <a href="http://www.economist.com/node/18584096?story_id=18584096&fsrc=rss" target="_blank">http://www.economist.com/node/18584096?story_id=18584096&fsrc=rss</a><br>
><br>
><br>
> �Existing models of crowd behaviour do just that. They treat moving masses<br>
> of humanity as though they were fluids. This works, up to a point. But it<br>
> often fails to predict the changes that happen as a crowd�s density<br>
> increases and its movement becomes chaotic. That is why Mehdi Moussaid of<br>
> Paul Sabatier University, in Toulouse, and his colleagues have made a<br>
> radical innovation. Instead of treating the individual human beings in a<br>
> crowd as if they were molecules, they have treated them as if they were<br>
> human beings. They have, in other words, given them volition. Of course, the<br>
> objective of someone in a moving crowd is usually fairly simple�to get<br>
> somewhere and then stay there. But it is an objective, nevertheless.<br>
><br>
<br>
</div>Unless I am really missing something, this is absolutely not anything<br>
new in the world of network sciences and complex systems<br>
science/modeling/theory. In fact, practically every agent based<br>
complex systems model applies simple rules to the agents and then runs<br>
the model to see what will happen. This goes all the way back to John<br>
Holland, Robert Axelrod, and others who pioneered complex systems<br>
models. Read the article on The Economist itself to see why I am<br>
having this reaction:<br>
<div class="im"><a href="http://www.economist.com/node/18584096?story_id=18584096&fsrc=rss" target="_blank">http://www.economist.com/node/18584096?story_id=18584096&fsrc=rss</a><br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
</div>> --<br>
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