How can we think the complex

This chapter does not deal with specific tools and techniques for managing complex systems, but proposes some basic concepts that help us to think and speak about complexity. We review classical thinking and its intrinsic drawbacks when dealing with complexity. We then show how complexity forces us to take build models with indeterminacy and unpredictability. However, we can still deal with the problems created in this way by being adaptive, and profiting from a complex system’s capability for selforganization, and the distributed intelligence this may produce.

[1]  Francis Heylighen,et al.  Publications on complex, evolving systems: A citation-based survey , 1997, Complex.

[2]  Michael Wooldridge,et al.  Introduction to multiagent systems , 2001 .

[3]  Xinghuo Yu,et al.  Chaos control : theory and applications , 2003 .

[4]  Francis HEYLIGHEN,et al.  Modelling Emergence , 2006 .

[5]  A. Clark.  Being There: Putting Brain, Body, and World Together Again , 1996 .

[6]  Steffen Bayer,et al.  Business dynamics: Systems thinking and modeling for a complex world , 2004 .

[7]  Francis Heylighen,et al.  COPING WITH COMPLEXITY : concepts and principles for a support system , 1991 .

[8]  H. Von Foerster,et al.  On Self-Organizing Systems and Their Environments , 2003 .

[9]  W. Ross Ashby,et al.  Principles of the Self-Organizing System , 1991 .

[10]  Bruce Edmonds,et al.  Complexity and Scientific Modelling , 2000 .

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

[12]  Diederik Aerts,et al.  Contextual Random Boolean Networks , 2003, ECAL.

[13]  Frank Schweitzer,et al.  Brownian Agents and Active Particles: Collective Dynamics in the Natural and Social Sciences , 2003 .

[14]  Carlos Gershenson,et al.  When Can We Call a System Self-Organizing? , 2003, ECAL.

[15]  Carlos Gershenson,et al.  The Meaning of Self-organization in Computing , 2003 .

[16]  P. Anderson.  More is different. , 1972, Science.

[17]  C. Shalizi,et al.  Causal architecture, complexity and self-organization in time series and cellular automata , 2001 .

[18]  Francis Heylighen,et al.  Classical and Non-Classical Representations in Physics , 1990 .

[19]  Carlos Gershenson.  Complex Philosophy , 2001, ArXiv.

[20]  Melanie Mitchell,et al.  An introduction to genetic algorithms , 1996 .

[21]  Francis Heylighen,et al.  Classical and nonclassical representations in physics: physics 1 , 1990 .

[22]  Robert A. Meyers,et al.  Encyclopedia of physical science and technology , 1987 .

[23]  Morten Lind,et al.  Coping with complexity , 2006, Nature.

[24]  J Swanson,et al.  Business Dynamics—Systems Thinking and Modeling for a Complex World , 2002, J. Oper. Res. Soc..

[25]  Stafford Beer,et al.  Decision and Control: The Meaning of Operational Research and Management Cybernetics , 1966 .

[26]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[27]  G. Kane.  Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .

[28]  Francis Heylighen,et al.  Publications on complex, evolving systems: A citation-based survey , 1997, Complex..

[29]  Carlos Gershenson,et al.  Classification of Random Boolean Networks , 2002, ArXiv.

[30]  Francis Heylighen,et al.  Principles of Systems and Cybernetics: an evolutionary perspective , 1991 .

[31]  Francis Heylighen,et al.  The Science of Self-Organization and Adaptivity , 1999 .

[32]  Francis Heylighen,et al.  Collective Intelligence and its Implementation on the Web: Algorithms to Develop a Collective Mental Map , 1999, Comput. Math. Organ. Theory.

[33]  S. Kraemer.  Steps to an Ecology of Mind: Gregory Bateson , 1993, British Journal of Psychiatry.

[34]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[35]  Francis Heylighen,et al.  Causality as distinction conservation: a theory of predictability, reversibility, and time order , 1989 .

[36]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[37]  F. Heylighen.  Fitness as Default: the evolutionary basis of cognitive complexity reduction , 1994 .

[38]  John D. Sterman,et al.  Business dynamics : systems thinking and modelling for acomplex world , 2002 .

[39]  Arthur Battram,et al.  Navigating Complexity: The Essential Guide to Complexity theory in Business and Management , 1998 .

[40]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[41]  E. Hutchins.  Cognition in the wild , 1995 .

[42]  Francis Heylighen,et al.  Cybernetics and Second-Order Cybernetics , 2001 .

[43]  H. Maturana,et al.  The Tree of Knowledge: The Biological Roots of Human Understanding , 2007 .