Phil Henshaw wrote: > how do you represent the systems of nature that are out of control and > making up altogether new rules??? At some point that kind effort is less of an empirical science and more of a mathematical investigation into worlds as they could be. That's not to say it is bad, it's just a different goal.
One way to proceed with that kind of investigation is with genetic programming. Create an imaginary world that has certain forces acting on the things in it, and then evolve computer programs that can survive in that imaginary world. After the agents survive very well, take apart those computer programs to try figure out how they work, or study how different computer programs interact in that world and possibly even change it. Classic example: http://www.archive.org/details/sims_evolved_virtual_creatures_1994 With an avatar/gaming world, it's not hard to imagine automated agents learning how to fight or cooperate with human players. Then one could probe those agents to watch how they make decisions. To be more systematic and learn about learning one could have timestamps on each node/branch to compare the recent innovations from enduring logic. ============================================================ 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
