Divide to Coordinate: Coevolutionary Problem Solving
Optimization of systems with many conflicting constraints arises in numerous settings. Common optimization procedures seek to improve performance of the system as a whole. We show that coevolutionary problem solving, in which a system is partitioned into subsystems each of which selfishly optimizes, can lead to enhanced performance as a collective emergent property. Optimally partitioned systems often lie near a transistion from order to chaos.
Year of publication: |
1994-06
|
---|---|
Authors: | Kauffman, Stuart ; Macready, William G. ; Dickinson, Emily |
Institutions: | Santa Fe Institute |
Saved in:
Saved in favorites
Similar items by person
-
Optimal Search on a Technology Landscape
Kauffman, Stuart, (1998)
-
Optimal search on a technology landscape
Kauffman, Stuart, (2000)
-
Optimal search on a technology landscape
Kauffman, Stuart, (2000)
- More ...