Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2007-02-26
Nonlinear Sciences
Adaptation and Self-Organizing Systems
10 pages, submitted to IEEE SMC 2007
Scientific paper
A future goal of robot teams and agent-based models (ABMs) is to field organizations and systems based on first principles derived from human counterparts. Forestalling that opportunity, the failure of traditional organizational theory has at the same time opened the way to innovative theories of organizations and change. Inspired by Bohr and Heisenberg about the application of interdependent uncertainty in the interaction between action and observation, making organizations bistable, we have begun to construct a theory of organizations based on the uncertainty of energy level (resources) and belief/action consensus, leading to preliminary metrics of organizational performance that we have discovered in field studies. Our goal in this project is to address the problem posed by organizations with: the development of new theory; field tests of new metrics for organizations; and the development of quantum ABMs set within a social circuit as a building block for an organization. Should we be successful, our research would represent a fundamental departure from traditional observational methods of social science by forming the basis of a predictive science of organizations. We expect that replacing the traditional method of observation with a predictive science must account for when cognitive observations work and when they do not (illusions).
Lawless W. F.
Tung Lily
Wood Joseph
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