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I Like Ants - Grand Masters of Business Opportunity

Since this is my first blog post I though it should be memorable and so I will share a secret passion of mine

Footnotes
Firstly, I purposefully used the term fastest path algorithm instead of shortest path algorithm, because while it’s often the case that the shortest path is also the fastest, it’s not necessarily always the case.

Secondly, I don’t know where the pictures originated from, so if they infringe on anybody’s claim of ownership, please let me know and I’ll remove them right away.

Thirdly, my oldest child doens't like ants very much. This summer, at Trollhättan in Sweden, she ignorantly climb the biggest ant hill she could find and proclaimed to be it's queen. Being pissed on by a million angry ants, literally, cured her dreams of feudal overlordship.

References (in no particular order)

  • Deborah M. Gordon, Ants at Work: How An Insect Society Is Organized, W. W. Norton & Company Inc., October 2000.
  • Deborah Gordon, Deborah Gordon digs ants, TED Talks 2003, http://www.ted.com/talks/deborah_gordon_digs_ants.html.
  • Eric Bonabeau & Christopher Meyer, Swarm Intelligence: A whole New Way to Think About Business, Harvard Business Review, May 2001.
  • Eric Bonabeau, Marco Dorigo & Guy Theraulaz, Swarm Intelligence: From Natural to Artificial Systems (Santa Fe Institute Studies on the Sciences of Complexity), OUP USA, October 21 th October 1999.
  • Marco Dorigo, Ant Colony Optimization, MIT Press, July 6th 2004.
  • David Gordon, Collective Intelligence in Social Insects, http://ai-depot.com/Essay/SocialInsects.html.
  • Susan Leigh Star & Geoffrey C. Bowker, Sorting Things Out - Classifications and its consequences, MIT Press, 1999.
  • Susan Leigh Star, Got Infrastructure? How Standards, Categories and Other Aspects of Infrastructure Influence Communication, University of California, April 2002.
  • Kurt Mehlhorn & Peter Sanders, Algorithms and Data Structures: The Basic Toolbox, Springer-verlag, August 6th 2008.

More Stories By Martin Kaarup

Martin Kaarup began his professional career over a decade ago as a system developer on location-based mobile phone services. During that time he participated as lead developer in pioneering unique state-of-the-art location-based services for the European and Asian markets, such as low-cost fleet-tracking using antenna triangulation and applications for utilizing customer positioning data for demographic use. He also participated in building location based games, such as treasure hunts and country-wide Dungeon & Dragons-based games merging www, wap and sms technologies.

Later, he shifted to the financial sector in Scandinavia where he worked as an enterprise architect building, extending, and delivering advanced fund data solutions and services designed specifically for the pan-European Fund Industry.

Today, Martin is an employee at the Swedish consultants company Avega Group, where he focuses his expertice on consulting companies on strategic and enterprise wide issues.

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