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Issue 1093 coverProgress in Convergence: Technologies for Human Wellbeing Volume 1093 published December 2006
Ann. N.Y. Acad. Sci. 1093: 24–45 (2006). doi: 10.1196/annals.1382.003
Copyright © 2006 by the New York Academy of Sciences
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Part I. Perspectives on Convergence

Transformative Concepts in Scientific Convergence

WILLIAM SIMS BAINBRIDGEa

a National Science Foundation, Arlington, Virginia 22230, USA

Key Words: conservation • indecision • configuration • interaction • variation • evolution • information • cognition

Address for reprints: William Sims Bainbridge, National Science Foundation, Arlington, VA 22230. Voice: 703-292-7470.  e-mail: wbainbri{at}nsf.gov

This article suggests eight high-level concepts that can promote convergence by identifying analogies across fields of science and engineering. Conservation: Many properties are conserved, through symmetries, parity laws, and feedback-regulated stabilities in complex adaptive systems. Indecision: Inconsistency, undecidability, uncertainty, chance, deterministic chaos, and similar concepts are fundamental principles in the dynamics of systems over time. Configuration: Detailed, dynamic structures of objects determine their properties, notably the unity of nature at the nanoscale. Interaction: Elements of a system influence each other, generating higher-level dynamics and other emergent phenomena. Variation: Statistical distributions of properties are caused by the combination of chance and divergent processes of interaction. Evolution: Marked by drift, natural selection, and a trend toward greater complexity, evolution exploits variation to develop new configurations that compete through interactions. Information: Scientific laws can be analyzed in terms of information content, and flow, while the doing of any science today relies heavily upon information technology. Cognition: Mental or computational process is the dynamic aspect of information, fundamental to the human practice of science.






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