Emergence Biology 361 = Computer Science 361 Bryn Mawr College Spring 2007

Computer models/modelling as inquiry

• Simple interactions among simple things in lieu of a conductor (fully distributed systems) can create order (non-randomness)
• Simple interactions among simple things can create kinds of order unanticipated by an architect/designer
• ????? Simple things interacting in simple ways have consequences that cannot be characterized except by trying them out? .... "computational irreducibility"? (Turing machines, halting problem)

A Schema for Emergence as a BIG Idea
(from Emerging Emergence, A Report on Progress (Oct 2004)

Both conductors and planners/architects are themselves products of on ongoing process of emergence. So too is the brain, meaning, purpose, science, and inquiry itself. All are (non-deterministically?) derivitive of properties and interactions that existed at earlier stages of emergence and that persist at lower levels of organization. Having come into existence, each becomes both an influence on lower levels of organization and an ingredient for the creation of new levels.

Useful for better understanding concepts ... Trying Out Unpeeling the Onion: The Meanings of "Purpose"

• "Purpose" in cellular automata? Game of Life (alternate) ...
  • Things act/change for their own reasons (independent of an observer)
  • What exists is only the universe, all else is made "real" by an observer
• "Purpose" with an agent? Langton's Ant ...
  • An agent has its own internal rules that influence its interactions with the universe (hence is distinct from it) and may result in its resisting influences on it from the universe
  • To display "stubborn" behaviors, an agent need not have any explicit internal representation of a purpose nor be modified by its interactions with the universe ("learn").
  Challenge is to continue finding surprising things, use them to "unpeel" concepts, show that complexity can build on complexity to yield ... everything?