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Complexity Digest 2009.03 - 11
http://comdig.unam.mx/index.php?id_issue=2009.03#32014
2009/01/30

[ Your Message ]

It is with great sadness that I announce the passing of my friend and founding
editor, Dr Gottfried Mayer on January 25, 2009 in Taipei, Taiwan.  He had been
battling numerous cancers with his intellect, guidance from complexity science
and his strength.  But the fight was concluded attended at his bedside with his
wife, Yeou-Teh, and daughter, Stephanie.
 
Complexity Digest is Gottfried's creation.  It was his vision that work was
being done all over the world which needed to be brought into the community's
network to solve problems.  His own scientific sweep was a demonstration of the
multi-disciplinary, rapid response features that became the hallmark of each
weekly issue reaching over 10k members dedicated to furthering complexity.  He
trained a small international team of editors to write concise, summaries of
important articles.  And he partnered with me on what more we could do whether
exploring new media like video, partnering with other institutions or finding
ways to preserve the services of  Complexity Digest beyond the lives of any of
us.
 
And Gottfried triumphed is setting the course for ComDig's next phase.  The
editor's burdens are being assumed by Carlos Gershenson who has been writing for
the publication since 2001.  The publisher is the Universidad Nacional Autónoma
de México (UNAM), the leading university in Latin America, and its new Center of
Complexity Sciences.  This exciting group will impact complexity both through
its own research and in acting as a source of inspiration for others in its
publication efforts.  Publication will be on a bi-weekly basis and you can
expect to find Complexity Digest continue to be useful in your work....the
spirit of Gottfried will be present to guide us by continuing to be on the
masthead as founding editor.
 
Dean LeBaron


Self-organized criticality and adaptation in discrete dynamical networks, arXiv
 









Excerpt: It has been proposed that adaptation in complex systems is optimized at
the critical boundary between ordered and disordered dynamical regimes. Here, we
review models of evolving dynamical networks that lead to self-organization of
network topology based on a local coupling between a dynamical order parameter
and rewiring of network connectivity, with convergence towards criticality in
the limit of large network size $N$. In particular, two adaptive schemes are
discussed and compared in the context of Boolean Networks and Threshold
Networks.
Source: Self-organized criticality and adaptation in discrete dynamical
networks[ http://uk.arXiv.org/abs/0811.0980 ], Thimo Rohlf and Stefan Bornholdt,
DOI: 0811.0980, arXiv, 2008/11/06

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