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CYBERNETICS AND Complex adaptive systems

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Encyclopedia of Operations Research and Management Science
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INTRODUCTION AND EARLY HISTORY

Cybernetics is a term that is occasionally used in the literature of such areas as systems engineering and OR/MS to denote the study of control and communication in, and, in particular between humans, machines, organizations, and society. The word cybernetics comes from the Greek word Kybernetes, which means “controller,” or “governor,” or “steersman.” The first modern use of the term was due to Professor Norbert Wiener, an MIT professor of mathematics, who made many early and seminal contributions to mathematical system theory (Wiener, 1949). The first book formally on this subject was titled Cybernetics and published in 1948 (Wiener, 1948). In this book, Wiener defined the term as “control and communication in the animal and the machine.” This emphasized the concept of feedback control as a construct presumably of value in the study of neural and physiological relations in the biological and physical sciences. In the historical evolution of...

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References

  1. Arthur, W. B. (1994). Increasing Returns and Path Dependence in the Economy, University of Michigan Press, Ann Arbor.

    Google Scholar 

  2. Arthur, W. B., Durlauf, S. N., and Lane, D. A., eds. (1997). The Economy as an Evolving Complex System, II, Addison Wesley, Reading, Massachusetts.

    Google Scholar 

  3. Ashby, W. R. (1952). Design for a Brain, Chapman and Hall, London.

    Google Scholar 

  4. Ashby, W. R. (1956). An Introduction to Cybernetics, Chapman and Hall, London.

    Google Scholar 

  5. Axelrod, R. (1997). The Complexity of Cooperation: Agent Based Models of Competition and Collaboration, Princeton Univ. Press, Princeton, New Jersey.

    Google Scholar 

  6. Bak, P., and Chen, K. (1991). “Self Organized Criticality,” Scientific American, 271(1), 46–53.

    Google Scholar 

  7. Bak, P. (1996). How Nature Works: The Science of Self-Organized Criticality, Springer-Verlag, New York.

    Google Scholar 

  8. Barr, A., Cohen, P. R., and Feigenbaum, E. A., eds. (1981, 1982). Handbook of Artificial Intelligence, Vols. I, II, and III, William Kaufman.

    Google Scholar 

  9. Beer, S. (1979). The Heart of Enterprise, John Wiley, Chichester, UK.

    Google Scholar 

  10. Casti, J. L. (1997). Would-be Worlds How Simulation is Changing the Frontiers of Science, John Wiley, New York.

    Google Scholar 

  11. Coveney, P. and Highfield, R. (1995). Frontiers of Complexity: The Search for Order in a Chaotic World, Fawcett, Columbine, New York.

    Google Scholar 

  12. Davenport, T. H. (1993). Process Innovation: Reengineering Work through Information Technology, Harvard Business School Press, Boston.

    Google Scholar 

  13. Dreyfus, H. L. (1992). What Computers Still Can't Do: A Critique of Artificial Reason, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  14. Drucker, P. (1995). Managing in A Time of Great Change, Dutton, New York.

    Google Scholar 

  15. Drucker, P. (1998). On the Profession of Management, Harvard Business School Press, Boston.

    Google Scholar 

  16. Epstein, J. M. (1997). Nonlinear Dynamics, Mathematical Biology, and Social Science, Addison-Wesley, Reading, Massachusetts.

    Google Scholar 

  17. Freeman, J. A. and Skapura, D. (1991). Neural networks: Algorithms, Applications and Programming Techniques, Addison-Wesley, Reading, Massachusetts.

    Google Scholar 

  18. George, F. H. (1971). Cybernetics, St. Paul's House, Middlegreen, Slough, UK.

    Google Scholar 

  19. Harrington, H. J. (1991). Business Process Improvement: The Breakthrough Strategy for Total Quality, Productivity, and Competitiveness, McGraw-Hill, New York.

    Google Scholar 

  20. Harris, D. H., ed. (1994). Organizational Linkages: Understanding the Productivity Paradox. National Academy Press, Washington, D.C.

    Google Scholar 

  21. Holland, J. H. (1996). Hidden Order: How Adaptation Builds Complexity, Addison-Wesley, Reading, Massachusetts.

    Google Scholar 

  22. Holland, J. H. (1998). Emergence: From Chaos to Order, Addison-Wesley, Reading, Massachusetts.

    Google Scholar 

  23. Holland, J. H., Holyoak, K. J., Nisbet, R. E., and Thagard, P. R. (1986). Induction: Processes of Inference, Learning, and Discovery, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  24. Johannsen, G., Rijnsdorp, J. E., and Sage, A. P. (1983). “Human Interface Concerns in Support System Design,” Automatica, 19(6), 1–9.

    Google Scholar 

  25. Kaufman, S. (1995). At Home in the Universe: The Search for the Laws of Self-Organization and Complexity, Oxford Univ. Press, New York.

    Google Scholar 

  26. Langton, C. G. (1990). “Computation at the Edge of Chaos: Phase Transitions and Emergent Computation,” Physica D, 42(1–3), 12–37.

    Google Scholar 

  27. Lerner, A. Y. (1976). Fundamentals of Cybernetics, Plenum, New York.

    Google Scholar 

  28. Masani, P., ed. (1985). Norbert Wiener: CollectedWorks Volume IV–Cybernetics, Science and Society; Ethics, Aesthetics, and Literary Criticism; Book Reviews and Obituaries, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  29. McMaster, M. D. (1996). The Intelligence Advantage: Organizing for Complexity, Butterworth-Heinnemann, Boston.

    Google Scholar 

  30. Merry, U. (1995). Coping with Uncertainty: Insights from the New Sciences of Chaos, Self-Organization, and Complexity, Praeger Publishers, Westport, Connecticut.

    Google Scholar 

  31. Nonaka, I. (1994). “A Dynamical Theory of Organizational Knowledge Creation,” Organizational Science, 5(1), 14–37.

    Google Scholar 

  32. Nonaka, I. and Takeuchi, H. (1995). The Knowledge Creating Company, Oxford, New York.

    Google Scholar 

  33. Rasmussen, J. (1986). Information Processing and Human Machine Interaction: An Approach to Cognitive Engineering, North Holland Elsevier, Amsterdam.

    Google Scholar 

  34. Rasmussen, J., Pejtersen, A. M., and Goodstein, L. P. (1994). Cognitive Systems Engineering, John Wiley, New York.

    Google Scholar 

  35. Reason, J. (1990). Human Error, Cambridge University Press, Cambridge, UK.

    Google Scholar 

  36. Rockart, J. F. and DeLong, D. W. (1988). Executive Support Systems: The Emergence of Top Management Computer Use, Dow Jones-Irwin, Homewood, Illinois.

    Google Scholar 

  37. Sage, A. P. (1991). Decision Support Systems Engineering, John Wiley, New York.

    Google Scholar 

  38. Sage, A. P. (1992). Systems Engineering, John Wiley, New York.

    Google Scholar 

  39. Sage, A. P. (1995). Systems Management: For Information Technology and Software Engineering. John Wiley, New York.

    Google Scholar 

  40. Sage, A. P. (1998). Towards A Systems Ecology, IEEE Computer, 31(2) 107–110.

    Google Scholar 

  41. Sage, A. P., ed. (1987). System Design for Human Interaction, IEEE Press, New York.

    Google Scholar 

  42. Sage, A. P. and Palmer, J. D. (1990). Software Systems Engineering, John Wiley, New York.

    Google Scholar 

  43. Sage, A. P., ed. (1990). Concise Encyclopedia of Information Processing in Systems and Organizations, Pergamon Press, Oxford.

    Google Scholar 

  44. Scott Morton, M. S., ed. (1991). The Corporation of the 1990s: Information Technology and Organizational Transformation, Oxford University Press, New York.

    Google Scholar 

  45. Shapiro, S. C., ed. (1987). Encyclopedia of Artificial Intelligence, John Wiley, New York.

    Google Scholar 

  46. Sheridan, T. B. (1992). Telerobotics, Automation, and Human Supervisory Control, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  47. Sheridan, T B. and W. R. Ferrell (1974). Man-Machine Systems: Information, Control, and Decision Models of Human Performance, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  48. Singh, M. G., ed. (1990). Systems and Control Encyclopedia, Pergamon Press, Oxford, UK.

    Google Scholar 

  49. Steinbrunner, J. D. (1974). The Cybernetic Theory of Decision, Princeton University Press, New Jersey.

    Google Scholar 

  50. Wiener, N. (1948). Cybernetics, or Control and Communication in the Animal and the Machine, John Wiley, New York.

    Google Scholar 

  51. Wiener, N. (1949). Extrapolation, Interpolation and Smoothing of Stationary Time Series with Engineering Applications, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  52. Wilson, E. O. (1998). Consilience: The Unity of Knowledge, Alfred A. Knopf, New York.

    Google Scholar 

  53. Zurada, J. (1992). Introduction to Artificial Neural Systems, West Publishing, St. Paul, Minnesota.

    Google Scholar 

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© 2001 Kluwer Academic Publishers

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Sage, A.P. (2001). CYBERNETICS AND Complex adaptive systems . In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_205

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  • DOI: https://doi.org/10.1007/1-4020-0611-X_205

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-7923-7827-3

  • Online ISBN: 978-1-4020-0611-1

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