Has anyone seen any papers on logical depth in the context of agent-based modeling? I know we could talk about n agents * t steps * a rough description of agent and environment complexity, but I was wondering if anyone's done some more formal work...
-Steve > *** SFI SEMINAR *** > > Wednesday, June 7, 2006 . 12:15 pm . Medium Conference Room > > Complexity, Parallel Computation, and Statistical Physics > Jonathan Machta > > Department of Physics, University of Massachusetts, Amherst > > Abstract > > The intuition that a long history is required for the > emergence of complexity in natural systems is formalized > using the notion of depth. The depth of a system is defined > in terms of the number of parallel computational steps needed > to simulate it. Depth provides an objective, irreducible > measure of history applicable to systems of the kind studied > in statistical physics. It is argued that physical complexity > cannot occur in the absence of substantial depth and that > depth is a useful proxy for physical complexity. The ideas > are illustrated for a variety of systems in statistical physics. > > http://www.santafe.edu/events/abstract/445 > ============================================================ 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
