Re: [FRIAM] Evolution in varying environments
On 8/14/07, Nicholas Thompson <[EMAIL PROTECTED]> wrote: > > Hmm Roger. I always thought that unpredictable environments contribute > more within-species diversitity and FEWER species. > > Nick > Nick -- Apparently a generalization that fits some of the facts. The communities of Madagascar are characterized by high levels of endemicity, great species diversity in some taxonomic groups, and a complete absence of others. -- rec -- FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
Re: [FRIAM] Evolution in varying environments
"modularity--the attempt to understand systems as integrations of partially independent and interacting units..." See: Callebaut and Rasskin-Gutman (2005). Modularity: Understanding the Development and Evolution of Natural Complex Systems. MIT Press. Gus Koehler, Ph.D. President and Principal Time Structures, Inc. 1545 University Ave. Sacramento, CA 95825 916-564-8683, Fax: 916-564-7895 Cell: 916-716-1740 www.timestructures.com -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Marcus G. Daniels Sent: Tuesday, August 14, 2007 4:22 PM To: The Friday Morning Applied Complexity Coffee Group Subject: Re: [FRIAM] Evolution in varying environments Roger Critchlow wrote: > I haven't read enough to see how they identify the "modules" into > which they decompose the phenotype so they can select different > subsets of modules on each environmental change. It looks function composition to me. g(f(x,y),h(w,z)) where they, say, swap around the order of f and h in g. In that way the evolved boolean network must evolve to remember how g, f, and h work independently to be efficient and coping with changes in ordering. Intuitively, it makes sense that changing the composition of functions from time to time would make each function be more robust. FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
Re: [FRIAM] Evolution in varying environments
Hmm Roger. I always thought that unpredictable environments contribute more within-species diversitity and FEWER species. Nick - Original Message - From: Roger Critchlow To: The Friday Morning Applied Complexity Coffee Group Sent: 8/14/2007 3:48:42 PM Subject: [FRIAM] Evolution in varying environments Back to complexity for a moment. Here are two open access preprints from PNAS that I found while looking for the new map of Angkor Wat. The first is about speeding up artificial evolution by changing the environment: http://www.pnas.org/cgi/content/abstract/0611630104v1 I haven't read enough to see how they identify the "modules" into which they decompose the phenotype so they can select different subsets of modules on each environmental change. The second, which was published a day earlier, is about the same thing, only for real. The environment in Madagascar is diverse, but the diverse regions all share an unpredictable rainfall through the year and year to year. This unpredictability is proposed to contribute to the unusual diversity of mammals found. http://www.pnas.org/cgi/content/abstract/0704346104v1 -- rec -- FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
Re: [FRIAM] Evolution in varying environments
As the Geico caveman said, "What?" Doug Roberts, RTI International [EMAIL PROTECTED] [EMAIL PROTECTED] 505-455-7333 - Office 505-670-8195 - Cell Message sent via Treo Chattermail -Original Message- From: "Marcus G. Daniels" <[EMAIL PROTECTED]> Date: Tuesday, Aug 14, 2007 5:26 pm Subject: Re: [FRIAM] Evolution in varying environments To: The Friday Morning Applied Complexity Coffee Group Roger Critchlow wrote: I haven't read enough to see how they identify the "modules" into which they decompose the phenotype so they can select different subsets of modules on each environmental change. It looks function composition to me. g(f(x,y),h(w,z)) where they, say, swap around the order of f and h in g. In that way the evolved boolean network must evolve to remember how g, f, and h work independently to be efficient and coping with changes in ordering. Intuitively, it makes sense that changing the composition of functions from time to time would make each function be more robust. FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
Re: [FRIAM] Evolution in varying environments
Roger Critchlow wrote: > I haven't read enough to see how they identify the "modules" into > which they decompose the phenotype so they can select different > subsets of modules on each environmental change. It looks function composition to me. g(f(x,y),h(w,z)) where they, say, swap around the order of f and h in g. In that way the evolved boolean network must evolve to remember how g, f, and h work independently to be efficient and coping with changes in ordering. Intuitively, it makes sense that changing the composition of functions from time to time would make each function be more robust. FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
