Epistasis Blog

From the Artificial Intelligence Innovation Lab at Cedars-Sinai Medical Center (www.epistasis.org)

Tuesday, May 22, 2007

Genetic Programming Theory and Practice V

I just returned from the annual Genetic Programming Theory and Practice (GPTP) workshop hosted by the Center for the Study of Complex Systems at the University of Michigan (my alma mater). This is the second time I have been invited to attend and present a paper at GPTP and I can honestly say it is my favorite scientific conference. The goal is to bring GP theorists together with those on the front lines of solving complex problems for an exchange of ideas. The workshop this year focused on a number of issues including building more complexity into GP algorithms. That is, can we develop GP algorithms that more closely mirror the complexity of real biological systems? This line of discussion was motivated by the keynote presentation by Dr. Wolfgang Banzaf from Memorial University in Canada. Dr. Banzaf presented ideas from his recent Nature Reviews Genetics paper that I mentioned here previously. I presented our work on SyMod and our recent paper in Human Heredity on Symbolic Modeling.


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