- '...nature is _NOT_ "efficient" like computers are "efficient". Natural systems are enormous, ad-hoc, kludges.'
- 'May I suggest that most computers and computer software nowadays are truly internally enormous, ad-hoc, kludges as well.'
As I see, you both agree, that natural systems are ad-hoc and kludges, which is not so naturally true. If "natural systems" means food webs, neuron networks, Ãkosystems, cell's chemical networks and things like that, then there ARE (freshly explored) laws regulating these systems. All mentioned are scale-free networks, which means that the degree distribution function (it shows how many links belongs to every single member of the network) follows a power law. In spite of that, the degree distribution function of a random network, which is not scale-free follows a Gauss-spin; and this fact is much too likely telling us: nature is not built on coincidence. See more about this in BarabÃsi Albert-LÃszlÃ's homepage at http://www.nd.edu/~alb and in his book: Linked (issued one year ago).
Slashdot Mirror
- '...nature is _NOT_ "efficient" like computers are "efficient". Natural systems are enormous, ad-hoc, kludges.' - 'May I suggest that most computers and computer software nowadays are truly internally enormous, ad-hoc, kludges as well.' As I see, you both agree, that natural systems are ad-hoc and kludges, which is not so naturally true. If "natural systems" means food webs, neuron networks, Ãkosystems, cell's chemical networks and things like that, then there ARE (freshly explored) laws regulating these systems. All mentioned are scale-free networks, which means that the degree distribution function (it shows how many links belongs to every single member of the network) follows a power law. In spite of that, the degree distribution function of a random network, which is not scale-free follows a Gauss-spin; and this fact is much too likely telling us: nature is not built on coincidence. See more about this in BarabÃsi Albert-LÃszlÃ's homepage at http://www.nd.edu/~alb and in his book: Linked (issued one year ago).