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Media press

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Swarm in the trade and general press (<a xmlns="" href="biblio/media-print.ps">Postscript version</a>)

Abstract

Swarm in the general & trade media. The most recent version of this document can be found at the <a xmlns="" href="http://www.swarm.org/media.html">SDG site</a>. Last modified on: $Date: 2003/05/16 19:58:54 $

[BusinessWeek] Business Week. "<a xmlns="" href="http://www.businessweek.com/1996/09/960226.htm">Artificial

       Life Simulation Software</a>"Business Week.  75 . 26 February 1996.

Abstract: Software developed at New Mexico's Santa Fe

       Institute uses 3-D satellite maps of a geographical region and
       software "agents" that model such variables as
       weather and crop yields to study why an ancient Native
       American culture collapsed suddenly in the 12th century. The
       artificial-life simulation software, called Swarm, produces a
       generic modeling tool for studying ecological systems,
       economic theories and other complex
       systems. 
     <p></p>

</dd>

[Corey:1997] John Corey. "<a xmlns="" href="http://www.businessweek.com/1997/25/b35328.htm">Inside the Santa Fe Institute</a>"Business Week. 23 June 1997.

[McBride:1998] Dennis K. McBride . "<a xmlns="" href="http://journals.wiley.com/1076-2787/abs/v4n2p32.html">In the Land of the Blind, the One-Eyed Man is King</a>"Complexity. 4 . 2. 1998 . 32--35 .

[Morris:1999] Richard Morris . "Chapter 8: Swarm"Artificial Worlds: Computers, Complexity and the Riddle of Life . Plenum Trade . New York, London. 1999.

[Panepento:2000] Peter Panepento. "<a xmlns="" href="http://www.computerworld.com/cwi/story/0,1199,NAV47_STO48402,00.html">The Perfect Swarm</a>"Computerworld. August 14, 2000.

[Parrish:Edelstein-Keshet:1999] Julia K. Parrish and Leah Edelstein-Keshet . "<a xmlns="" href="http://www.sciencemag.org/content/vol284/issue5411/">Complexity,

   Pattern and Evolutionary Trade-Offs in Animal Aggregation</a>"Science.  99-101 . 284. 5411. 2 April 1999. special issue of Science.  on
     `Complex Systems'; mention of Swarm in context of modeling
     aggregation in biological systems.

Abstract: One of the most striking patterns in biology is the

     formation of animal aggregations. Classically, aggregation has
     been viewed as an evolutionarily advantageous state, in which
     members derive the benefits of protection, mate choice, and
     centralized information, balanced by the costs of limiting
     resources. Consisting of individual members, aggregations
     nevertheless function as an integrated whole, displaying a
     complex set of behaviors not possible at the level of the
     individual organism. Complexity theory indicates that large
     populations of units can self-organize into aggregations that
     generate pattern, store information, and engage in collective
     decision-making. This begs the question, are all emergent
     properties of animal aggregations functional or are some simply
     pattern? Solutions to this dilemma will necessitate a closer
     marriage of theoretical and modeling studies linked to empirical
     work addressing the choices, and trajectories, of individuals
     constrained by membership in the group.  <p></p>

</dd>

[Petzinger:1998] Thomas Petzinger Jr.. "Looking to Give Executives A Living Computer"<a xmlns="" href="http://www.wsj.com">Wall Street Journal</a>. 24 July 1998.

[Sorensoen:1998] Eric Sorensen. "<a xmlns="" href="http://www.seattletimes.com/news/health-science/html98/altcomp_050598.html">Making sense of complexity</a>"Seattle Times. 5 May 1998.

[Wright:1997] Giles Wright . "<a xmlns="" href="http://www.newscientist.com/ns/971004/features.html">Rise and Fall</a>"New Scientist. 155. 2102. 4 October 1997.

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Media press

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