About Engineering Complex Systems: Multiscale Analysis and Evolutionary Engineering

We describe an analytic approach, multiscale analysis, that can demonstrate the fundamental limitations of decomposition based engineering for the development of highly complex systems. The planning based process is limited by the interdependence of components and communication between design teams. Thus, the construction of many highly complex systems should be pursued by strategies modeled after biological evolution, or market economies, where extensive planning is forsaken and multiple parallel design efforts compete for adoption through testing in actual use.

[1]  The Road to Serfdom , 1944, Nature.

[2]  W. Ashby,et al.  An Introduction to Cybernetics , 1957 .

[3]  Lawrence J. Fogel,et al.  Artificial Intelligence through Simulated Evolution , 1966 .

[4]  Jay R. Galbraith.  Designing Complex Organizations , 1973 .

[5]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[6]  Henry Mintzberg,et al.  The Structuring of Organizations , 1979 .

[7]  Igor Birman.  Personal Consumption in the USSR and the USA , 1989 .

[8]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[9]  H. Simon,et al.  Organizations, 2nd ed. , 1993 .

[10]  G. Lynn,et al.  Marketing and Discontinuous Innovation: The Probe and Learn Process , 1996 .

[11]  Yaneer Bar-Yam,et al.  Dynamics Of Complex Systems , 2019 .

[12]  Oded Maimon,et al.  A Mathematical Theory of Design: Foundations, Algorithms and Applications , 1998 .

[13]  Robert W. Veryzer.  Discontinuous innovation and the new product development process , 1998 .

[14]  Yaneer Bar-Yam,et al.  Formalizing the gene centered view of evolution , 1999, Adv. Complex Syst..

[15]  Formalizing the gene centered view of evolution , 1999 .

[16]  Durward K. Sobek,et al.  Toyota's Principles of Set-Based Concurrent Engineering , 1999 .

[17]  H Sayama,et al.  Relationship between measures of fitness and time scale in evolution. , 2002, Physical review letters.

[18]  Christoph H. Loch,et al.  On Uncertainty, Ambiguity, and Complexity in Project Management , 2002, Manag. Sci..

[19]  Yaneer Bar-Yam,et al.  Unifying Principles in Complex Systems , 2002 .

[20]  Yaneer Bar-Yam,et al.  When systems engineering fails-toward complex systems engineering , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[21]  Yaneer Bar-Yam,et al.  Multiscale variety in complex systems , 2004, Complex..

[22]  Y. Bar-Yam.  Making Things Work: Solving Complex Problems in a Complex World , 2004 .

[23]  Yaneer Bar-Yam,et al.  A mathematical theory of strong emergence using multiscale variety , 2004, Complex..

[24]  Justin Werfel,et al.  The evolution of reproductive restraint through social communication. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[25]  Yaneer Bar-Yam,et al.  Multiscale Complexity/Entropy , 2004, Adv. Complex Syst..

[26]  Y. Bar-Yam,et al.  Multiscale analysis of information correlations in an infinite-range, ferromagnetic Ising system. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  Yaneer Bar-Yam.  Complexity Rising : from Human Beings to Human Civilization , a Complexity Profile , 2005 .

[28]  Yaneer Bar-Yam,et al.  Engineering Complex Systems: Multiscale Analysis and Evolutionary Engineering , 2006 .