tag:blogger.com,1999:blog-29021022.post5640637276233276488..comments2023-04-27T01:05:33.653-07:00Comments on Poet's Inc.: Where the Genetic Code and the Binary Code DifferTimhttp://www.blogger.com/profile/17639488637387728713noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-29021022.post-42775612964482555682008-11-10T05:48:00.000-08:002008-11-10T05:48:00.000-08:00This is great info to know.This is great info to know.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-29021022.post-86828226238163146502008-09-05T07:29:00.000-07:002008-09-05T07:29:00.000-07:00This may or may not be what you are looking for, b...This may or may not be what you are looking for, but there are a set of algorithms which model the genetic process (see for example <A HREF="http://en.wikipedia.org/wiki/Genetic_algorithm" REL="nofollow">Genetic Algorithms</A> and <A HREF="http://en.wikipedia.org/wiki/Genetic_programming" REL="nofollow">Genetic Programming</A>). Basically, you have a population of instances in a specific representation that "reproduce" and "mutate" through simulate generations. GAs have been used to solve a large number of optimization problems, and for the most part do a pretty good job at.<BR/><BR/>There also exists self-modifying code where a program continues to change itself over time. The artificial intelligence community have really come up with a variety of interesting algorithms.Brentwellhttps://www.blogger.com/profile/12617431514339027902noreply@blogger.com