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Many fields accept emergence.
Many fields accept emergence. Physics and biology the most, others partially.
 
= Evolution of Complexity and Systems Thinking =
 
{| class="wikitable sortable"
! Phase
! Approx. Period
! Core Idea
! Key Concepts Introduced
! Major Thinkers
! Key Works / Institutions
! Significance for Complexity Science
|-
| Early Holistic Natural Philosophy
| Antiquity – 1600
| Nature understood as an interconnected whole rather than isolated parts
| Holism, natural order, organismic worldview
| [[Aristotle]], [[Heraclitus]], [[Avicenna]]
| Aristotle – ''Metaphysics''
| Early philosophical roots of emergence and systemic thinking
|-
| Scientific Reductionism
| 1600 – 1900
| Understanding systems by breaking them into fundamental components
| Mechanistic science, analytic reductionism
| [[Isaac Newton]], [[René Descartes]], [[Pierre-Simon Laplace]]
| Newton – ''Principia Mathematica''
| Established modern scientific method but downplayed system-level emergence
|-
| Thermodynamics & Statistical Mechanics
| 1850 – 1930
| Macroscopic order arises from microscopic interactions
| Entropy, statistical systems, phase transitions
| [[Ludwig Boltzmann]], [[James Clerk Maxwell]], [[Josiah Willard Gibbs]]
| Boltzmann statistical mechanics
| First rigorous emergence in physics
|-
| Cybernetics
| 1940 – 1965
| Systems governed by feedback, control, and information flows
| Feedback loops, control systems, information theory
| [[Norbert Wiener]], [[Ross Ashby]], [[Claude Shannon]]
| Macy Conferences on Cybernetics
| Introduced feedback as a universal principle across biological and mechanical systems
|-
| General Systems Theory
| 1945 – 1975
| Universal principles exist across biological, social, and technological systems
| Open systems, system hierarchy, organismic systems
| [[Ludwig von Bertalanffy]], [[Kenneth Boulding]]
| ''General System Theory'' (1968)
| Formalized interdisciplinary systems thinking
|-
| Systems Dynamics
| 1955 – 1980
| Complex social and industrial systems modeled using feedback loops
| System simulation, dynamic modeling
| [[Jay Forrester]], [[Donella Meadows]]
| [[The Limits to Growth]]
| First computational models of global civilization-scale systems
|-
| Chaos Theory
| 1960 – 1990
| Deterministic systems can produce unpredictable outcomes
| Nonlinearity, strange attractors, sensitivity to initial conditions
| [[Edward Lorenz]], [[Mitchell Feigenbaum]]
| Lorenz attractor research
| Showed that nonlinear systems can behave unpredictably
|-
| Complexity Science
| 1985 – 2005
| Complex adaptive systems produce emergent behavior
| Self-organization, emergence, adaptation
| [[Murray Gell-Mann]], [[Stuart Kauffman]], [[John Holland]]
| [[Santa Fe Institute]]
| Established complexity science as a formal research field
|-
| Network Science
| 2000 – 2015
| Complex systems structured as networks with universal patterns
| Scale-free networks, hubs, network dynamics
| [[Albert-László Barabási]], [[Duncan Watts]]
| ''Linked'' (Barabási)
| Revealed structural laws governing many complex systems
|-
| Planetary / Civilizational Systems Science
| 2010 – Present
| Human civilization studied as a complex adaptive planetary system
| Anthropocene systems, socio-technical networks
| [[Peter Turchin]], [[Geoffrey West]]
| SFI urban scaling research
| Applies complexity thinking to civilization-scale dynamics
|}
 
= Major Thinkers on Emergence and Complex Systems =
 
We should abandon disciplinary-only thinking, but not disciplines themselves
 
{| class="wikitable sortable"
! Thinker
! Field
! Key Contribution to Emergence
! Notable Work
|-
| [https://en.wikipedia.org/wiki/Philip_W._Anderson Philip W. Anderson]
| Condensed Matter Physics
| Introduced the idea that higher levels of complexity exhibit new laws
| ''More Is Different''
|-
| [https://en.wikipedia.org/wiki/Stuart_Kauffman Stuart Kauffman]
| Complexity Biology
| Self-organization and autocatalytic sets
| ''At Home in the Universe''
|-
| [https://en.wikipedia.org/wiki/Murray_Gell-Mann Murray Gell-Mann]
| Physics / Complexity Science
| Founder of complexity science at Santa Fe Institute
| ''The Quark and the Jaguar''
|-
| [https://en.wikipedia.org/wiki/John_Holland_(computer_scientist) John H. Holland]
| Complex Adaptive Systems
| Genetic algorithms and adaptive systems
| ''Hidden Order''
|-
| [https://en.wikipedia.org/wiki/W._Brian_Arthur W. Brian Arthur]
| Economics
| Increasing returns and complexity economics
| ''The Nature of Technology''
|-
| [https://en.wikipedia.org/wiki/Eric_Beinhocker Eric Beinhocker]
| Complexity Economics
| Economic systems as evolutionary processes
| ''The Origin of Wealth''
|-
| [https://en.wikipedia.org/wiki/Herbert_A._Simon Herbert A. Simon]
| Cognitive Science / Economics
| Hierarchical complexity and bounded rationality
| ''The Sciences of the Artificial''
|-
| [https://en.wikipedia.org/wiki/Ilya_Prigogine Ilya Prigogine]
| Thermodynamics
| Dissipative structures and far-from-equilibrium systems
| ''Order Out of Chaos''
|-
| [https://en.wikipedia.org/wiki/Per_Bak Per Bak]
| Statistical Physics
| Self-organized criticality
| ''How Nature Works''
|-
| [https://en.wikipedia.org/wiki/Geoffrey_West Geoffrey West]
| Complexity Physics
| Scaling laws in biology and cities
| ''Scale''
|-
| [https://en.wikipedia.org/wiki/Steven_Strogatz Steven Strogatz]
| Nonlinear Dynamics
| Synchronization phenomena
| ''Sync''
|-
| [https://en.wikipedia.org/wiki/Duncan_J._Watts Duncan J. Watts]
| Network Science
| Small-world networks and social contagion
| ''Six Degrees''
|-
| [https://en.wikipedia.org/wiki/Albert-L%C3%A1szl%C3%B3_Barab%C3%A1si Albert-László Barabási]
| Network Science
| Scale-free networks
| ''Linked''
|-
| [https://en.wikipedia.org/wiki/Yaneer_Bar-Yam Yaneer Bar-Yam]
| Complexity Science
| Multiscale systems and complexity policy
| ''Dynamics of Complex Systems''
|-
| [https://en.wikipedia.org/wiki/Joshua_M._Epstein Joshua M. Epstein]
| Agent-Based Modeling
| Generative social science
| ''Growing Artificial Societies''
|-
| [https://en.wikipedia.org/wiki/Robert_Axelrod Robert Axelrod]
| Political Science / Complexity
| Emergence of cooperation
| ''The Evolution of Cooperation''
|-
| [https://en.wikipedia.org/wiki/Elinor_Ostrom Elinor Ostrom]
| Political Economy
| Emergent governance of commons
| ''Governing the Commons''
|-
| [https://en.wikipedia.org/wiki/David_Krakauer David Krakauer]
| Complexity Biology
| Information and evolutionary complexity
| Santa Fe Institute research
|-
| [https://en.wikipedia.org/wiki/Mark_Newman_(scientist) Mark Newman]
| Network Science
| Mathematical structure of networks
| ''Networks: An Introduction''
|-
| [https://en.wikipedia.org/wiki/Scott_E._Page Scott E. Page]
| Complexity Social Science
| Diversity and collective intelligence
| ''The Difference''
|-
| [https://en.wikipedia.org/wiki/Nassim_Nicholas_Taleb Nassim Nicholas Taleb]
| Complexity / Risk
| Nonlinear systems and antifragility
| ''Antifragile''
|-
| [https://en.wikipedia.org/wiki/Thomas_Schelling Thomas Schelling]
| Economics / Game Theory
| Emergent segregation models
| ''Micromotives and Macrobehavior''
|-
| [https://en.wikipedia.org/wiki/Brian_Goodwin Brian Goodwin]
| Theoretical Biology
| Self-organization in biological form
| ''How the Leopard Changed Its Spots''
|-
| [https://en.wikipedia.org/wiki/Karl_Friston Karl Friston]
| Neuroscience
| Free energy principle and emergent cognition
| Active inference theory
|-
| [https://en.wikipedia.org/wiki/Andy_Clark Andy Clark]
| Philosophy / Cognitive Science
| Extended mind and emergent cognition
| ''Surfing Uncertainty''
|-
| [https://en.wikipedia.org/wiki/Jaegwon_Kim Jaegwon Kim]
| Philosophy of Mind
| Critiques of strong emergence
| ''Mind in a Physical World''
|-
| [https://en.wikipedia.org/wiki/David_Chalmers David Chalmers]
| Philosophy
| Strong emergence and consciousness debate
| ''The Conscious Mind''
|-
| [https://en.wikipedia.org/wiki/Manfred_Eigen Manfred Eigen]
| Biophysics
| Self-organization in molecular evolution
| Hypercycle theory
|-
| [https://en.wikipedia.org/wiki/Cesare_Marchesini Cesare Marchesini]
| Complexity Theory
| Mathematical modeling of emergent dynamics
| Systems research
|-
| [https://en.wikipedia.org/wiki/Simon_Levin Simon Levin]
| Ecology
| Emergence in ecosystems and multi-scale systems
| Princeton complexity research
|}

Latest revision as of 20:47, 15 March 2026

https://chatgpt.com/share/69b716a4-a3f0-8010-ad9a-ffb6b22d7eaa

Many fields accept emergence. Physics and biology the most, others partially.

Evolution of Complexity and Systems Thinking

Phase Approx. Period Core Idea Key Concepts Introduced Major Thinkers Key Works / Institutions Significance for Complexity Science
Early Holistic Natural Philosophy Antiquity – 1600 Nature understood as an interconnected whole rather than isolated parts Holism, natural order, organismic worldview Aristotle, Heraclitus, Avicenna Aristotle – Metaphysics Early philosophical roots of emergence and systemic thinking
Scientific Reductionism 1600 – 1900 Understanding systems by breaking them into fundamental components Mechanistic science, analytic reductionism Isaac Newton, René Descartes, Pierre-Simon Laplace Newton – Principia Mathematica Established modern scientific method but downplayed system-level emergence
Thermodynamics & Statistical Mechanics 1850 – 1930 Macroscopic order arises from microscopic interactions Entropy, statistical systems, phase transitions Ludwig Boltzmann, James Clerk Maxwell, Josiah Willard Gibbs Boltzmann statistical mechanics First rigorous emergence in physics
Cybernetics 1940 – 1965 Systems governed by feedback, control, and information flows Feedback loops, control systems, information theory Norbert Wiener, Ross Ashby, Claude Shannon Macy Conferences on Cybernetics Introduced feedback as a universal principle across biological and mechanical systems
General Systems Theory 1945 – 1975 Universal principles exist across biological, social, and technological systems Open systems, system hierarchy, organismic systems Ludwig von Bertalanffy, Kenneth Boulding General System Theory (1968) Formalized interdisciplinary systems thinking
Systems Dynamics 1955 – 1980 Complex social and industrial systems modeled using feedback loops System simulation, dynamic modeling Jay Forrester, Donella Meadows The Limits to Growth First computational models of global civilization-scale systems
Chaos Theory 1960 – 1990 Deterministic systems can produce unpredictable outcomes Nonlinearity, strange attractors, sensitivity to initial conditions Edward Lorenz, Mitchell Feigenbaum Lorenz attractor research Showed that nonlinear systems can behave unpredictably
Complexity Science 1985 – 2005 Complex adaptive systems produce emergent behavior Self-organization, emergence, adaptation Murray Gell-Mann, Stuart Kauffman, John Holland Santa Fe Institute Established complexity science as a formal research field
Network Science 2000 – 2015 Complex systems structured as networks with universal patterns Scale-free networks, hubs, network dynamics Albert-László Barabási, Duncan Watts Linked (Barabási) Revealed structural laws governing many complex systems
Planetary / Civilizational Systems Science 2010 – Present Human civilization studied as a complex adaptive planetary system Anthropocene systems, socio-technical networks Peter Turchin, Geoffrey West SFI urban scaling research Applies complexity thinking to civilization-scale dynamics

Major Thinkers on Emergence and Complex Systems

We should abandon disciplinary-only thinking, but not disciplines themselves

Thinker Field Key Contribution to Emergence Notable Work
Philip W. Anderson Condensed Matter Physics Introduced the idea that higher levels of complexity exhibit new laws More Is Different
Stuart Kauffman Complexity Biology Self-organization and autocatalytic sets At Home in the Universe
Murray Gell-Mann Physics / Complexity Science Founder of complexity science at Santa Fe Institute The Quark and the Jaguar
John H. Holland Complex Adaptive Systems Genetic algorithms and adaptive systems Hidden Order
W. Brian Arthur Economics Increasing returns and complexity economics The Nature of Technology
Eric Beinhocker Complexity Economics Economic systems as evolutionary processes The Origin of Wealth
Herbert A. Simon Cognitive Science / Economics Hierarchical complexity and bounded rationality The Sciences of the Artificial
Ilya Prigogine Thermodynamics Dissipative structures and far-from-equilibrium systems Order Out of Chaos
Per Bak Statistical Physics Self-organized criticality How Nature Works
Geoffrey West Complexity Physics Scaling laws in biology and cities Scale
Steven Strogatz Nonlinear Dynamics Synchronization phenomena Sync
Duncan J. Watts Network Science Small-world networks and social contagion Six Degrees
Albert-László Barabási Network Science Scale-free networks Linked
Yaneer Bar-Yam Complexity Science Multiscale systems and complexity policy Dynamics of Complex Systems
Joshua M. Epstein Agent-Based Modeling Generative social science Growing Artificial Societies
Robert Axelrod Political Science / Complexity Emergence of cooperation The Evolution of Cooperation
Elinor Ostrom Political Economy Emergent governance of commons Governing the Commons
David Krakauer Complexity Biology Information and evolutionary complexity Santa Fe Institute research
Mark Newman Network Science Mathematical structure of networks Networks: An Introduction
Scott E. Page Complexity Social Science Diversity and collective intelligence The Difference
Nassim Nicholas Taleb Complexity / Risk Nonlinear systems and antifragility Antifragile
Thomas Schelling Economics / Game Theory Emergent segregation models Micromotives and Macrobehavior
Brian Goodwin Theoretical Biology Self-organization in biological form How the Leopard Changed Its Spots
Karl Friston Neuroscience Free energy principle and emergent cognition Active inference theory
Andy Clark Philosophy / Cognitive Science Extended mind and emergent cognition Surfing Uncertainty
Jaegwon Kim Philosophy of Mind Critiques of strong emergence Mind in a Physical World
David Chalmers Philosophy Strong emergence and consciousness debate The Conscious Mind
Manfred Eigen Biophysics Self-organization in molecular evolution Hypercycle theory
Cesare Marchesini Complexity Theory Mathematical modeling of emergent dynamics Systems research
Simon Levin Ecology Emergence in ecosystems and multi-scale systems Princeton complexity research
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