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Self-organization

From Wikipedia, the free encyclopedia
Process of forming order by local interactions

Self-organization in micron-sized Nb3O7(OH) cubes during ahydrothermal treatment at 200 °C. Initiallyamorphous cubes gradually transform into ordered 3D meshes of crystallinenanowires as summarized in the model below.[1]
Complex systems
Topics

Self-organization, also calledspontaneous order in thesocial sciences, is a process where some form of overallorder arises from local interactions between parts of an initially disorderedsystem. The process can be spontaneous when sufficient energy is available, not needing control by any external agent. It is often triggered by seemingly randomfluctuations, amplified bypositive feedback. The resulting organization is wholly decentralized,distributed over all the components of the system. As such, the organization is typicallyrobust and able to survive orself-repair substantialperturbation.Chaos theory discusses self-organization in terms of islands ofpredictability in a sea of chaotic unpredictability.

Self-organization is a phenomenon that occurs across various fields, includingphysics,chemistry,biology,collective behavior,ecology,communication networks,robotics,artificial intelligence,linguistics,social science,urbanism,philosophy, andengineering.[2] Examples of self-organization includecrystallization, thermalconvection of fluids,chemical oscillation, animalswarming,neural circuits, andblack markets.

Overview

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Self-organization is realized[3] in thephysics of non-equilibrium processes, and inchemical reactions, where it is often characterized asself-assembly. The concept has proven useful in biology, from the molecular to theecosystem level.[4] Cited examples of self-organizing behavior also appear in the literature of many other disciplines, both in thenatural sciences and in thesocial sciences (such aseconomics oranthropology). Self-organization has also been observed in mathematical systems such ascellular automata.[5] Self-organization is an example of the related concept ofemergence.[6]

Self-organization relies on four basic ingredients:[7]

  1. strong dynamical non-linearity, often (though not necessarily) involvingpositive andnegative feedback
  2. balance of exploitation and exploration
  3. multiple interactions among components
  4. availability of energy (to overcome the natural tendency towardentropy, or loss of free energy)

Principles

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The cyberneticianWilliam Ross Ashby formulated the original principle of self-organization in 1947.[8][9] It states that any deterministicdynamic system automatically evolves towards a state of equilibrium that can be described in terms of anattractor in abasin of surrounding states. Once there, the further evolution of the system is constrained to remain in the attractor. This constraint implies a form of mutual dependency or coordination between its constituent components or subsystems. In Ashby's terms, each subsystem has adapted to the environment formed by all other subsystems.[8]

The cyberneticianHeinz von Foerster formulated the principle of "order fromnoise" in 1960.[10] It notes that self-organization is facilitated by random perturbations ("noise") that let the system explore a variety of states in its state space. This increases the chance that the system will arrive into the basin of a "strong" or "deep" attractor, from which it then quickly enters the attractor itself. The biophysicistHenri Atlan developed this concept by proposing the principle of "complexity from noise"[11][12] (French:le principe de complexité par le bruit)[13] first in the 1972 bookL'organisation biologique et la théorie de l'information and then in the 1979 bookEntre le cristal et la fumée. The physicist and chemistIlya Prigogine formulated a similar principle as "order through fluctuations"[14] or "order out of chaos".[15] It is applied in the method ofsimulated annealing forproblem solving andmachine learning.[16]

History

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Further information:Spontaneous order

The idea that thedynamics of a system can lead to an increase in its organization has a long history. The ancientatomists such asDemocritus andLucretius believed that a designing intelligence is unnecessary to create order in nature, arguing that given enough time and space and matter, order emerges by itself.[17]

The philosopherRené Descartes presents self-organization hypothetically in the fifth part of his 1637Discourse on Method. He elaborated on the idea in his unpublished workThe World.[a]

Immanuel Kant used the term "self-organizing" in his 1790Critique of Judgment, where he argued thatteleology is a meaningful concept only if there exists such an entity whose parts or "organs" are simultaneously ends and means. Such a system of organs must be able to behave as if it has a mind of its own, that is, it is capable of governing itself.[18]

In such a natural product as this every part is thought asowing its presence to the agency of all the remaining parts, and also as existingfor the sake of the others and of the whole, that is as an instrument, or organ... The part must be an organproducing the other parts—each, consequently, reciprocally producing the others... Only under these conditions and upon these terms can such a product be anorganized andself-organized being, and, as such, be called aphysical end.[18]

Sadi Carnot (1796–1832) andRudolf Clausius (1822–1888) discovered thesecond law of thermodynamics in the 19th century. It states that totalentropy, sometimes understood as disorder, will always increase over time in anisolated system. This means that a system cannot spontaneously increase its order without an external relationship that decreases order elsewhere in the system (e.g. through consuming the low-entropy energy of a battery and diffusing high-entropy heat).[19][20]

18th-century thinkers had sought to understand the "universal laws of form" to explain the observed forms of living organisms. This idea became associated withLamarckism and fell into disrepute until the early 20th century, whenD'Arcy Wentworth Thompson (1860–1948) attempted to revive it.[21]

The psychiatrist and engineerW. Ross Ashby introduced the term "self-organizing" to contemporary science in 1947.[8] It was taken up by the cyberneticiansHeinz von Foerster,Gordon Pask,Stafford Beer; and von Foerster organized a conference on "The Principles of Self-Organization" at the University of Illinois' Allerton Park in June, 1960 which led to a series of conferences on Self-Organizing Systems.[22]Norbert Wiener took up the idea in the second edition of hisCybernetics: or Control and Communication in the Animal and the Machine (1961).

Self-organization was associated[by whom?] withgeneral systems theory in the 1960s, but did not become commonplace in the scientific literature until physicistsHermann Haken et al. andcomplex systems researchers adopted it in a greater picture from cosmologyErich Jantsch,[clarification needed] chemistry withdissipative system, biology and sociology asautopoiesis tosystem thinking in the following 1980s (Santa Fe Institute) and 1990s (complex adaptive system), until our days with the disruptiveemerging technologies profounded by arhizomaticnetwork theory.[23][original research?]

Around 2008–2009, a concept of guided self-organization started to take shape. This approach aims to regulate self-organization for specific purposes, so that adynamical system may reach specific attractors or outcomes. The regulation constrains a self-organizing process within acomplex system by restricting local interactions between the system components, rather than following an explicit control mechanism or a global design blueprint. The desired outcomes, such as increases in the resultant internal structure and/or functionality, are achieved by combining task-independent global objectives with task-dependent constraints on local interactions.[24][25]

By field

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Convection cells in a gravity field

Physics

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See also:Self-assembly andSelf-assembly of nanoparticles

The many self-organizing phenomena inphysics includephase transitions andspontaneous symmetry breaking such asspontaneous magnetization andcrystal growth inclassical physics, and thelaser,[26]superconductivity andBose–Einstein condensation inquantum physics. Self-organization is found inself-organized criticality indynamical systems, intribology, inspin foam systems, and inloop quantum gravity,[27] in plasma,[28]in river basins and deltas, in dendritic solidification (snow flakes), in capillaryimbibition[29] and in turbulent structure.[4][5]

Chemistry

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The DNA structure shown schematically at left self-assembles into the structure at right[30]

Self-organization inchemistry includes drying-induced self-assembly,[31]molecular self-assembly,[32]reaction–diffusion systems andoscillating reactions,[33]autocatalytic networks,liquid crystals,[34]grid complexes,colloidal crystals,self-assembled monolayers,[35][36]micelles, microphase separation of blockcopolymers, andLangmuir–Blodgett films.[37]

Biology

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Further information:Biological organization
Birdsflocking (boids in Blender), an example of self-organization in biology

Self-organization inbiology[38] can be observed in spontaneousfolding of proteins and other biomacromolecules,self-assembly oflipid bilayer membranes,pattern formation andmorphogenesis indevelopmental biology, the coordination of human movement,eusocial behavior ininsects (bees,ants,termites)[39] andmammals, andflocking behavior in birds and fish.[40]

The mathematical biologistStuart Kauffman and otherstructuralists have suggested that self-organization may play roles alongsidenatural selection in three areas ofevolutionary biology, namelypopulation dynamics,molecular evolution, andmorphogenesis. However, this does not take into account the essential role ofenergy in driving biochemical reactions in cells. The systems of reactions in any cell areself-catalyzing, but not simply self-organizing, as they arethermodynamically open systems relying on a continuous input of energy.[41][42] Self-organization is not an alternative to natural selection, but it constrains what evolution can do and provides mechanisms such as the self-assembly of membranes which evolution then exploits.[43]

The evolution of order in living systems and the generation of order in certain non-living systems was proposed to obey a common fundamental principal called “the Darwinian dynamic”[44] that was formulated by first considering how microscopic order is generated in simple non-biological systems that are far fromthermodynamic equilibrium. Consideration was then extended to short, replicatingRNA molecules assumed to be similar to the earliest forms of life in theRNA world. It was shown that the underlying order-generating processes of self-organization in the non-biological systems and in replicating RNA are basically similar.

Cosmology

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In his 1995 conference paper "Cosmology as a problem in critical phenomena"Lee Smolin said that several cosmological objects or phenomena, such asspiral galaxies,galaxy formation processes in general,early structure formation,quantum gravity and thelarge scale structure of the universe might be the result of or have involved certain degree of self-organization.[45] He argues that self-organized systems are oftencritical systems, with structure spreading out in space and time over every available scale, as shown for example byPer Bak and his collaborators. Therefore, because thedistribution of matter in the universe is more or less scale invariant over many orders of magnitude, ideas and strategies developed in the study of self-organized systems could be helpful in tackling certainunsolved problems in cosmology and astrophysics.

Computer science

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Phenomena frommathematics andcomputer science such ascellular automata,random graphs, and some instances ofevolutionary computation andartificial life exhibit features of self-organization. Inswarm robotics, self-organization is used to produce emergent behavior. In particular the theory of random graphs has been used as a justification for self-organization as a general principle of complex systems. In the field ofmulti-agent systems, understanding how to engineer systems that are capable of presenting self-organized behavior is an active research area.[46]Optimization algorithms can be considered self-organizing because they aim to find the optimal solution to a problem. If the solution is considered as a state of the iterative system, the optimal solution is the selected, converged structure of the system.[47][48]Self-organizing networks includesmall-world networks[49]self-stabilization[50] andscale-free networks. These emerge from bottom-up interactions, unlike top-down hierarchical networks within organizations, which are not self-organizing.[51] Cloud computing systems have been argued to be inherently self-organizing,[52] but while they have some autonomy, they are not self-managing as they do not have the goal of reducing their own complexity.[53][54]

Cybernetics

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Main article:Self-organization in cybernetics

Norbert Wiener regarded the automatic serialidentification of ablack box and its subsequent reproduction as self-organization incybernetics.[55] The importance ofphase locking or the "attraction of frequencies", as he called it, is discussed in the 2nd edition of hisCybernetics: Or Control and Communication in the Animal and the Machine.[56]K. Eric Drexler seesself-replication as a key step in nano anduniversal assembly. By contrast, the four concurrently connected galvanometers ofW. Ross Ashby'sHomeostathunt, when perturbed, to converge on one of many possible stable states.[57] Ashby used his state counting measure ofvariety[58] to describe stable states and produced the "Good Regulator"[59] theorem which requires internal models for self-organizedendurance and stability (e.g.Nyquist stability criterion).Warren McCulloch proposed "Redundancy of Potential Command"[60] as characteristic of the organization of the brain and human nervous system and the necessary condition for self-organization.Heinz von Foerster proposed Redundancy,R=1 − H/Hmax, whereH isentropy.[61][62] In essence this states that unused potential communication bandwidth is a measure of self-organization.

In the 1970sStafford Beer considered self-organization necessary forautonomy in persisting and living systems. He applied hisviable system model to management. It consists of five parts: the monitoring of performance of the survival processes (1), their management by recursive application of regulation (2),homeostatic operational control (3) and development (4) which produce maintenance of identity (5) under environmental perturbation. Focus is prioritized by an alerting "algedonic loop" feedback: a sensitivity to both pain and pleasure produced from under-performance or over-performance relative to a standard capability.[63]

In the 1990sGordon Pask argued that von Foerster's H and Hmax were not independent, butinteracted viacountably infinite recursive concurrentspin processes[64] which he called concepts. His strict definition of concept "a procedure to bring about a relation"[65] permitted his theorem "Like concepts repel, unlike concepts attract"[66] to state a general spin-based principle of self-organization. His edict, an exclusion principle, "There areNo Doppelgangers" means no two concepts can be the same. After sufficient time, all concepts attract and coalesce aspink noise. The theory applies to all organizationallyclosed or homeostatic processes that produceenduring andcoherent products which evolve, learn and adapt.[67][64]

Sociology

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Main article:Spontaneous order
Social self-organization in international drug routes

The self-organizing behavior of social animals and the self-organization of simple mathematical structures both suggest that self-organization should be expected in humansociety. Tell-tale signs of self-organization are usually statistical properties shared with self-organizing physical systems. Examples such ascritical mass,herd behavior,groupthink and others, abound insociology,economics,behavioral finance andanthropology.[68]Spontaneous order can be influenced byarousal.[69]

In social theory, the concept of self-referentiality has been introduced as a sociological application of self-organization theory byNiklas Luhmann (1984). For Luhmann the elements of a social system are self-producing communications, i.e. a communication produces further communications and hence a social system can reproduce itself as long as there is dynamic communication. For Luhmann, human beings are sensors in the environment of the system. Luhmann developed an evolutionary theory of society and its subsystems, using functional analyses and systems theory.[70]

Anarchism can advocate self-organization as one of its basic principles.[71]

Economics

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Themarket economy is sometimes said to be self-organizing.Paul Krugman has written on the role that market self-organization plays in the business cycle in his bookThe Self Organizing Economy.[72]Friedrich Hayek coined the termcatallaxy[73] to describe a "self-organizing system of voluntary co-operation", in regards to the spontaneous order of the free market economy.Neo-classical economists hold that imposingcentral planning usually makes the self-organized economic system less efficient. On the other end of the spectrum, economists consider thatmarket failures are so significant that self-organization produces bad results and that the state should direct production and pricing. Most economists adopt an intermediate position and recommend a mixture of market economy andcommand economy characteristics (sometimes called amixed economy). When applied to economics, the concept of self-organization can quickly become ideologically imbued.[74][75]

Learning

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Enabling others to "learn how to learn"[76] is often taken to mean instructing them[77] how to submit to being taught. Self-organized learning (SOL)[78][79][80] denies that "the expert knows best" or that there is ever "the one best method",[81][82][83] insisting instead on "the construction of personally significant, relevant and viable meaning"[84] to be tested experientially by the learner.[85] This may be collaborative, and more rewarding personally.[86][87] It is seen as a lifelong process, not limited to specific learning environments (home, school, university) or under the control of authorities such as parents and professors.[88] It needs to be tested, and intermittently revised, through the personal experience of the learner.[89] It need not be restricted by either consciousness or language.[90]Fritjof Capra argued that it is poorly recognized within psychology and education.[91] It may be related to cybernetics as it involves anegative feedback control loop,[65] or tosystems theory.[92] It can be conducted as a learning conversation or dialog between learners or within one person.[93][94]

Transportation

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Main article:Three-phase traffic theory

The self-organizing behavior of drivers intraffic flow determines almost all the spatiotemporal behavior of traffic, such as traffic breakdown at a highway bottleneck, highway capacity, and the emergence of moving traffic jams. These self-organizing effects are explained byBoris Kerner'sthree-phase traffic theory.[95]

Linguistics

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Order appears spontaneously in theevolution of language as individual and population behavior interacts with biological evolution.[96]

Research

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Self-organized funding allocation (SOFA) is a method of distributingfunding for scientificresearch. In this system, each researcher is allocated an equal amount of funding, and is required to anonymously allocate a fraction of their funds to the research of others. Proponents of SOFA argue that it would result in similar distribution of funding as the present grant system, but with less overhead.[97] In 2016, a test pilot of SOFA began in the Netherlands.[98]

Criticism

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Heinz Pagels, in a 1985 review ofIlya Prigogine andIsabelle Stengers's bookOrder Out of Chaos inPhysics Today, appeals to authority:[99]

Most scientists would agree with the critical view expressed inProblems of Biological Physics (Springer Verlag, 1981) by the biophysicist L. A. Blumenfeld, when he wrote: "The meaningful macroscopic ordering of biological structure does not arise due to the increase of certain parameters of a system above their critical values. These structures are built according to program-like complicated architectural structures, the meaningful information created during many billions of years of chemical and biological evolution being used." Life is a consequence of microscopic, not macroscopic, organization.

Of course, Blumenfeld does not answer the further question of how those program-like structures emerge in the first place. His explanation leads directly toinfinite regress.

In short, they [Prigogine and Stengers] maintain thattime irreversibility is not derived from a time-independent microworld, but is itself fundamental. The virtue of their idea is that it resolves what they perceive as a "clash of doctrines" about the nature oftime in physics. Most physicists would agree that there is neither empirical evidence to support their view, nor is there a mathematical necessity for it. There is no "clash of doctrines." Only Prigogine and a few colleagues hold to these speculations which, in spite of their efforts, continue to live in the twilight zone of scientific credibility.

Intheology,Thomas Aquinas (1225–1274) in hisSumma Theologica assumes ateleological created universe in rejecting the idea that something can be a self-sufficient cause of its own organization:[100]

Since nature works for a determinate end under the direction of a higher agent, whatever is done by nature must needs be traced back to God, as to its first cause. So also whatever is done voluntarily must also be traced back to some higher cause other than human reason or will, since these can change or fail; for all things that are changeable and capable of defect must be traced back to an immovable and self-necessary first principle, as was shown in the body of the Article.

See also

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Notes

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  1. ^For related history, see Aram Vartanian,Diderot and Descartes.

References

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Further reading

[edit]
  • W. Ross Ashby (1966),Design for a Brain, Chapman & Hall, 2nd edition.
  • Per Bak (1996),How Nature Works: The Science of Self-Organized Criticality, Copernicus Books.
  • Philip Ball (1999),The Self-Made Tapestry: Pattern Formation in Nature[permanent dead link], Oxford University Press.
  • Stafford Beer, Self-organization asautonomy:Brain of the Firm 2nd edition Wiley 1981 andBeyond Dispute Wiley 1994.
  • Adrian Bejan (2000),Shape and Structure, from Engineering to Nature, Cambridge University Press, Cambridge, 324 pp.
  • Mark Buchanan (2002),Nexus: Small Worlds and the Groundbreaking Theory of Networks W. W. Norton & Company.
  • Scott Camazine, Jean-Louis Deneubourg, Nigel R. Franks, James Sneyd, Guy Theraulaz, & Eric Bonabeau (2001)Self-Organization in Biological Systems, Princeton Univ Press.
  • Falko Dressler (2007),Self-Organization in Sensor and Actor Networks, Wiley & Sons.
  • Manfred Eigen andPeter Schuster (1979),The Hypercycle: A principle of natural self-organization, Springer.
  • Myrna Estep (2003),A Theory of Immediate Awareness: Self-Organization and Adaptation in Natural Intelligence, Kluwer Academic Publishers.
  • Myrna L. Estep (2006),Self-Organizing Natural Intelligence: Issues of Knowing, Meaning, and Complexity, Springer-Verlag.
  • J. Doyne Farmer et al. (editors) (1986), "Evolution, Games, and Learning: Models for Adaptation in Machines and Nature", in:Physica D, Vol 22.
  • Carlos Gershenson andFrancis Heylighen (2003)."When Can we Call a System Self-organizing?" In Banzhaf, W,T. Christaller, P. Dittrich, J. T. Kim, and J. Ziegler, Advances in Artificial Life, 7th European Conference, ECAL 2003, Dortmund, Germany, pp. 606–14. LNAI 2801. Springer.
  • Hermann Haken (1983)Synergetics: An Introduction. Nonequilibrium Phase Transition and Self-Organization in Physics, Chemistry, and Biology, Third Revised and Enlarged Edition, Springer-Verlag.
  • F.A. HayekLaw, Legislation and Liberty, RKP, UK.
  • Francis Heylighen (2001):"The Science of Self-organization and Adaptivity"Archived December 17, 2010, at theWayback Machine.
  • Arthur Iberall (2016),Homeokinetics: The Basics, Strong Voices Publishing, Medfield, Massachusetts.
  • Henrik Jeldtoft Jensen (1998),Self-Organized Criticality: Emergent Complex Behaviour in Physical and Biological Systems, Cambridge Lecture Notes in Physics 10, Cambridge University Press.
  • Steven Berlin Johnson (2001),Emergence: The Connected Lives of Ants, Brains, Cities, and Software.
  • Stuart Kauffman (1995),At Home in the Universe, Oxford University Press.
  • Stuart Kauffman (1993),Origins of Order: Self-Organization and Selection in Evolution Oxford University Press.
  • J. A. Scott Kelso (1995),Dynamic Patterns: The self-organization of brain and behavior, The MIT Press, Cambridge, MA.
  • J. A. Scott Kelso & David A Engstrom (2006), "The Complementary Nature", The MIT Press, Cambridge, MA.
  • Alex Kentsis (2004),Self-organization of biological systems: Protein folding and supramolecular assembly, Ph.D. Thesis, New York University.
  • E.V. Krishnamurthy (2009)", Multiset of Agents in a Network for Simulation of Complex Systems", in "Recent advances in Nonlinear Dynamics and synchronization, (NDS-1) – Theory and applications, Springer Verlag, New York, 2009. Eds. K.Kyamakya, et al.
  • Paul Krugman (1996),The Self-Organizing Economy, Cambridge, Massachusetts, and Oxford: Blackwell Publishers.
  • Elizabeth McMillan (2004) "Complexity, Organizations and Change".
  • Marshall, A (2002) The Unity of Nature, Imperial College Press: London (esp. chapter 5)
  • Müller, J.-A., Lemke, F. (2000),Self-Organizing Data Mining.
  • Gregoire Nicolis andIlya Prigogine (1977)Self-Organization in Non-Equilibrium Systems, Wiley.
  • Heinz Pagels (1988),The Dreams of Reason: The Computer and the Rise of the Sciences of Complexity, Simon & Schuster.
  • Gordon Pask (1961),The cybernetics of evolutionary processes and of self organizing systems, 3rd. International Congress on Cybernetics, Namur, Association Internationale de Cybernetique.
  • Christian Prehofer ea. (2005), "Self-Organization in Communication Networks: Principles and Design Paradigms", in:IEEE Communications Magazine, July 2005.
  • Mitchell Resnick (1994),Turtles, Termites and Traffic Jams: Explorations in Massively Parallel Microworlds, Complex Adaptive Systems series, MIT Press.[ISBN missing]
  • Lee Smolin (1997),The Life of the Cosmos Oxford University Press.
  • Ricard V. Solé and Brian C. Goodwin (2001),Signs of Life: How Complexity Pervades Biology], Basic Books.
  • Ricard V. Solé and Jordi Bascompte (2006),in Complex Ecosystems, Princeton U. Press
  • Soodak, Harry;Iberall, Arthur (1978). "Homeokinetics: A Physical Science for Complex Systems".Science.201 (4356):579–582.Bibcode:1978Sci...201..579S.doi:10.1126/science.201.4356.579.PMID 17794110.S2CID 19333503.
  • Steven Strogatz (2004),Sync: The Emerging Science of Spontaneous Order, Thesis.
  • D'Arcy Thompson (1917),On Growth and Form, Cambridge University Press, 1992 Dover Publications edition.
  • J. Tkac, J Kroc (2017),Cellular Automaton Simulation of Dynamic Recrystallization: Introduction into Self-Organization and Emergence"(open source software)""Video – Simulation of DRX"
  • Tom De Wolf, Tom Holvoet (2005),Emergence Versus Self-Organisation: Different Concepts but Promising When Combined, In Engineering Self Organising Systems: Methodologies and Applications, Lecture Notes in Computer Science, volume 3464, pp. 1–15.
  • K. Yee (2003), "Ownership and Trade from Evolutionary Games",International Review of Law and Economics, 23.2, 183–197.
  • Louise B. Young (2002),The Unfinished Universe[ISBN missing]

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