Evolutionary walks on rugged landscapes
SIAM Journal on Applied Mathematics
Adaptation on rugged landscapes
Management Science
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Design Rules: The Power of Modularity Volume 1
Design Rules: The Power of Modularity Volume 1
Landscape Design: Designing for Local Action in Complex Worlds
Organization Science
Reproducing Knowledge: Replication Without Imitation at Moderate Complexity
Organization Science
The complexity catastrophe in the computer industry: interdependence and adaptability in organizational evolution
Imitation of Complex Strategies
Management Science
Modeling technology evolution using generalized genotype-phenotype maps
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Parametric interdependence, learning-by-doing, and industrial structure
Computational & Mathematical Organization Theory
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Scholars studying human organizations have recently adopted the notion of fitness landscapes, a concept pioneered in the biological and physical sciences. Such scholars have generally assumed that organizations will migrate toward the local peaks of these landscapes, as biological and physical entities do. We use an agentbased simulation to show, to the contrary, that a hierarchical human organization may very well come to rest at a "sticking point" that is not a local peak on the fitness landscape of the overall organization. Three pervasive features of human organizations create the distinction between sticking points and local peaks: the delegation of choices to separate decision makers, interdependencies between sticking points and local peaks: the delegation of choices to separate dicision makers, interdepencies between domains of those decision makers, and differences between local incentives and global incenties. Our results illustrate both that it is valuable to use tools developed to study one type of complex adaptive system in order to examine another type and that researchers must adapt the tools with care as they attempt to do so. © 2002 Wiley Periodicals, Inc.