Volume 12 · Number 1 · Pages 1–10
Circularity and the Micro-Macro-Difference

Manfred Füllsack

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Context: Referring to a recent proposition by Kauffman about the “fundamental nature of circularity in cybernetics and in scientific work in general,” I try to advance this insight with the help of system scientific concepts and a computational model. Problem: Often circularity seems to be taken as a metaphor that does not provide a firm epistemological base that fosters analysis. Method: The methodology builds on mathematics, computer-based modeling, and reasoning. Results: By building on conceptual suggestions for grasping the micro-macro difference of complex systems in terms of computational power, circularity can be conceived of as an emerging macro-level phenomenon. Implications: I show that the seemingly irritating - and traditionally evaded - concept of circularity is a fundamental and ubiquitous phenomenon in complex systems that can be grasped on a firm physical basis open to computational analysis. The proposal could support constructivist reasoning and help to eventually bridge the disconcerting gap between the humanities and natural sciences. Constructivist content: Circularity is a fundamental principle in the conception of second-order cybernetics and in particular in the observation of observing systems, as suggested by von Foerster. Trying to set it up on a firm analytical basis could advance the constructivist approach and further support it in becoming the contemporary scientific epistemology it deserves to be.

Key words: Circularity, micro-/macro difference, emergent phenomena


Füllsack M. (2016) Circularity and the micro-macro-difference. Constructivist Foundations 12(1): 1–10. http://constructivist.info/12/1/001

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Arthur W. B. (1989) Competing technologies, increasing returns, and lock-in by historical events. Economic Journal 99: 116–131. ▸︎ Google︎ Scholar
Bar-Yam Y. (2003) Dynamics of complex systems. Addison-Wesley, Reading MA. http://necsi.edu/publications/dcs/
Barry B. & Hardin R. (eds.) (1982) Rational man and irrational society? Sage, Beverly Hills CA. ▸︎ Google︎ Scholar
Bedau M. A. (1997) Weak emergence. Philosophical Perspectives 11: 375–399. ▸︎ Google︎ Scholar
Bernard C. (1865) Introduction à l’étude de la médecine expérimentale. Balliére, Paris. ▸︎ Google︎ Scholar
Bich L. & Bocchi G. (2012) Emergent processes as generation of discontinuities. In: Minati G., Pessa E., Abram M. (eds.) Methods, models, simulations and approaches towards a general theory of change. World Scientific, Singapore: 135–146. ▸︎ Google︎ Scholar
Bich L. (2016) Systems and organizations: Theoretical tools, conceptual distinctions and epistemological implications. In: Minati G., Ambram M. & Pessa E. (eds.) Towards a post-Bertalanffy systemics. Springer, New York: 203–209 http://cepa.info/3666
Bich L., Mossio M., Ruiz-Mirazo K. & Moreno A. (2016) Biological regulation: Controlling the system from within. Biology and Philosophy 31(2): 237–265 http://cepa.info/3767
Castelvecchi D. (2016) The black box of AI. Nature 538: 20–23. ▸︎ Google︎ Scholar
Centola D., Willer R. & Macy M. W. (2005) The emperor’s dilemma: A computational model of self-enforcing norms. American Journal of Sociology 110(4): 1009–1040. ▸︎ Google︎ Scholar
Chalmers D. J. (1996) Does a rock implement every finite-state automaton? Synthese 108(3): 309–333. ▸︎ Google︎ Scholar
Clayton P. & Davies P. (eds.) (2006) The re-emergence of emergence: The emergentist hypothesis from science to religion. Oxford University Press, Oxford. ▸︎ Google︎ Scholar
Davidson D. H. (1980) Essays on actions and events. Oxford University Press, Oxford. ▸︎ Google︎ Scholar
Derrida J. (1983) Grammatologie. Suhrkamp, Frankfurt am Main. French original published as: Derrida J. (1967) De la grammatologie. Les éditions de minuit, Paris. ▸︎ Google︎ Scholar
Di Paolo E. (2005) Autopoiesis, adaptivity, teleology, agency: Phenomenology and the cognitive sciences 4(4): 429–452 http://cepa.info/2269
Dubois D. M. (1998) Computing anticipatory systems with incursion and hyperincursion. In: Dubois D. M. (ed.) Computing anticipatory systems: CASYS – First International Conference. AIP Conference Proceedings 437: 3–29. ▸︎ Google︎ Scholar
Epstein J. M. & Axtell R. L. (1996) Growing artificial societies: Social science from the bottom up. MIT Press, Cambridge MA. ▸︎ Google︎ Scholar
Epstein J. M. (2006) Generative social science. Studies in agent-based computational modeling. Princeton University Press, Princeton. ▸︎ Google︎ Scholar
Fehr E. & Gächter S. (2000) Cooperation and punishment in public goods experiments. American Economic Review 90(4): 980–994. ▸︎ Google︎ Scholar
Foerster H. von (1976) Objects: Tokens for (eigen-)behaviors. ASC Cybernetics Forum 8(3–4): 91–96. Reprinted in: Foerster H. von (2003) Understanding understanding: Essays on cybernetics and cognition. Springer, New York: 261–271 http://cepa.info/1270
Foerster H. von (1981) Observing systems. Intersystems Publications, Seaside CA. ▸︎ Google︎ Scholar
Franklin A. (1986) The neglect of experiment. Cambridge University Press, Cambridge. ▸︎ Google︎ Scholar
Füllsack M. (2009) Arbeit [Labor]. UTB-Verlag, Wien. ▸︎ Google︎ Scholar
Füllsack M. (2011) Gleichzeitige Ungleichzeitigkeiten. Eine Einführung in die Komplexitätsforschung. VS-Verlag, Wiesbaden. ▸︎ Google︎ Scholar
Füllsack M. (2013) Constructivism and computation. Can computer-based modeling add to the case of constructivism? Constructivist Foundation 9(1): 7–16 http://cepa.info/942
Füllsack M. (2014) The circular conditions of second-order science sporadically illustrated with agent-based experiments at the roots of observation. Constructivist Foundations 10(1): 46–54 http://constructivist.info/10/1/046
Galison P. (1987) How experiments end. University of Chicago Press, Chicago. ▸︎ Google︎ Scholar
Gallese V. (2009) Mirror neurons, embodied simulation, and the neural basis of social identification. Psychoanalytic Dialogues 19: 519–536. ▸︎ Google︎ Scholar
Gánti T. (1975) Organization of chemical reactions into dividing and metabolizing units: The chemotons, BioSystems 7: 189–195. ▸︎ Google︎ Scholar
Gauch H. G. (2003) Scientific method in practice. Cambridge University Press, Cambridge. ▸︎ Google︎ Scholar
Georgeon O. & Hassas S. (2013) Single agents can be constructivist too. Constructivist Foundations 9(1): 40–42 http://constructivist.info/9/1/040
Georgeon O., Bernard F. & Cordier A. (2015) Constructing phenomenal knowledge in an unknown noumenal reality. Procedia Computer Science 71: 11–16 http://cepa.info/3661
Georgeon O., Mille A. & Gay S. (2016) Intelligence artificielle sans données ontologiques sur une réalité presupposée [Artificial intelligence without using ontological data about a presupposed reality]. Intellectica 65: 143–168 http://cepa.info/3662
Hacking I. (1983) Representing and intervening. Introductory topics in the philosophy of natural science. Cambridge University Press, Cambridge. ▸︎ Google︎ Scholar
Hardin G. (1968) The tragedy of the commons. Science 162: 1243–1248. ▸︎ Google︎ Scholar
Harris Z. S. (1952) Discourse Analysis. Language 28: 1–30. ▸︎ Google︎ Scholar
Hjorth A. & Wilensky U. (2014) Redesigning your city: A constructionist environment for urban planning education. Informatics in Education 13(2): 197–208 http://cepa.info/3664
Holland J. H. (1995) Hidden order: How adaptation builds complexity. Addison-Wesley, Reading MA. ▸︎ Google︎ Scholar
Isaacson J. & Kauffman L. H. (2016) Recursive distinctioning. Journal of Space Philosophy 5(1): 9–64. ▸︎ Google︎ Scholar
Kant I. (1987) Critique of Judgment. Hackett Publishing Indianapolis. Originally published in German as: Kant I. (1790) Kritik der Urteilskraft. ▸︎ Google︎ Scholar
Kauffman L. (2005) EigenForm. Kybernetes 34(1/2): 129–150 http://cepa.info/1271
Kauffman L. (2009) Reflexivity and eigenform: The shape of process. Constructivist Foundation 4(3): 121–137 http://cepa.info/133
Kauffman L. (2014) Circularity and distinction. Constructivist Foundations 10(1): 55–56 http://constructivist.info/10/1/055
Kauffman L. (2016) Cybernetics, reflexivity and second-order science. Constructivist Foundations 11(3): 489–497 http://constructivist.info/11/3/489
Kauffman S. (1986) Autocatalytic sets of proteins. Journal of Theoretical Biology 119(1): 1–24. ▸︎ Google︎ Scholar
Kuran T. (1995) Private truths, public lies: The social consequences of preference falsification. Harvard University Press, Cambridge MA. ▸︎ Google︎ Scholar
Lagarias J. C. (1985) The 3x + 1 problem and its generalizations. The American Mathematical Monthly 92(1): 3–23. ▸︎ Google︎ Scholar
Luhmann N. (1995) Social systems. Stanford University Press, Stanford. German original published in 1985. ▸︎ Google︎ Scholar
Mandelbrot B. (2006) The misbehavior of markets: A fractal view of financial turbulence. Basic Books, New York NY. ▸︎ Google︎ Scholar
Marks-Tarlow T. (2008) Psyche’s veil. Routledge, New York. ▸︎ Google︎ Scholar
Marks-Tarlow T. (2012) Clinical intuition in psychotherapy: The neurobiology of embodied response. Norton, New York. ▸︎ Google︎ Scholar
Marks-Tarlow T. (2015) The nonlinear dynamics of clinical intuition. Chaos & Complexity Letters 8(2–3): 1–23. ▸︎ Google︎ Scholar
Marks-Tarlow T., Robertson R. & Combs A. (2002) Varela and the Uroboros: The Psychological Significance of Reentry. Cybernetics & Human Knowing 9(2): 31–47 http://cepa.info/2324
Maturana H. R. (2002) Autopoiesis, structural coupling and cognition: A history of these and other notions in the biology of cognition. Cybernetics & Human Knowing 9(3–4): 5–34 http://cepa.info/685
Mayo D. G. (1994) The new experimentalism, topical hypotheses, and learning from error. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1: 270–279. ▸︎ Google︎ Scholar
Merton R. K. (1968) The Matthew Effect in science. Science 159(3810): 56–63. ▸︎ Google︎ Scholar
Miller J. H. (2016) A crude look at the whole: The science of complex systems in business, life, and society. Basic Books, New York. ▸︎ Google︎ Scholar
Mingers J. (1995) Self-producing systems: Implications and applications of autopoiesis. Plenum Press, New York. ▸︎ Google︎ Scholar
Mobus G. E. & Kalton M. C. (2015) Principles of systems science. Springer, New York. ▸︎ Google︎ Scholar
Montévil M. & Mossio M. (2015) Biological organisation as closure of constraints. Journal of Theoretical Biology 372: 179–191 http://cepa.info/3629
Mossio M. & Bich L. (2014) What makes biological organisation teleological? Synthese: First Online. ▸︎ Google︎ Scholar
Mossio M., Bich L. & Moreno A. (2013) Emergence, closure and inter-level causation in biological systems. Erkenntnis 78(2): 153–178 http://cepa.info/2313
NCSS (2013) The college, career, and civic life: C3 framework for social studies state standards. Guidance for enhancing the rigor of K–12 civics, economics, geography, and history. NCSS, Silver Spring MD. http://www.socialstudies.org/system/files/c3/C3-Framework-for-Social-Studies.pdf
Neumann E. (1956) The origins and history of consciousness. Princeton University Press, Princeton NJ. ▸︎ Google︎ Scholar
NGSS Lead States (2013) Next generation science standards: For states, by states. The National Academies Press, Washington DC. ▸︎ Google︎ Scholar
Oyama S. (2000) The ontogeny of information: Developmental systems and evolution. Duke University Press, Durham NC. ▸︎ Google︎ Scholar
Papert S. (1993) Mindstorms: Children, computers, and powerful ideas. Basic Books, New York. ▸︎ Google︎ Scholar
Pattee H. H. (1973) The physical basis and origin of hierarchical control. In: Pattee H. H. (ed.) Hierarchy theory. Braziller, New York: 71–108. ▸︎ Google︎ Scholar
Piaget J. (1955) The construction of reality in the child. Routledge, New York. ▸︎ Google︎ Scholar
Piaget J. (1967) Biologie et connaissance. Gallimard, Paris. ▸︎ Google︎ Scholar
Riegler A. (2006) Is a closed-loop discovery system feasible? In: Magnani L. (ed.) Computing and philosophy. Associated International Academic Publishers, Pavia: 141–149. ▸︎ Google︎ Scholar
Rosen R. (1972) Some relational cell models: The metabolism-repair systems. In: Rosen R. (ed.) Foundations of mathematical biology. Volume II. Academic Press, New York: 217–253. ▸︎ Google︎ Scholar
Rosen R. (1985) Anticipatory systems: Philosophical, mathematical and methodological foundations. Pergamon Press, New York. ▸︎ Google︎ Scholar
Rosen R. (1991) Life itself. Columbia University Press, New York. ▸︎ Google︎ Scholar
Russ R. S., Scherr R. E., Hammer D. & Mikeska J. (2008) Recognizing mechanistic reasoning in student scientific inquiry: A framework for discourse analysis developed from philosophy of science. Science Education 92 (3): 499–525. ▸︎ Google︎ Scholar
Russell S. & Norvig P. (2003) Artificial intelligence, a modern approach. Prentice Hall, Englewood Cliffs NJ. ▸︎ Google︎ Scholar
Saussure F. de (1916) Cours de linguistique générale. Editions Payot, Paris. English translation: Saussure F. de (1959) Course in general linguistics. Translated by Wade Baskin. Philosophical Library, New York. ▸︎ Google︎ Scholar
Scheffer M. & Westley F. R. (2007) The evolutionary basis of rigidity: Locks in cells, minds, and society. Ecology and Society 12(2): 36. http://www.ecologyandsociety.org/vol12/iss2/art36/
Scheffer M., Westley F. R. & Brock (2003) Slow response of societies to new problems: Causes and costs. Ecosystems 6: 493–502. ▸︎ Google︎ Scholar
Schelling T. C. (1978) Micromotives and Macrobehavior. Norton, New York. ▸︎ Google︎ Scholar
Schwarz C. V., Reiser B. J., Davis E. A., Kenyon L., Achér A., Fortus D., Shwartz Y., Hug B. & Krajcik J. (2009) Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners. Journal of Research in Science Teaching 46(6): 632–654. ▸︎ Google︎ Scholar
Shannon C. E. (1948) A mathematical theory of communication. The Bell System Technical Journal 27(3): 379–423. ▸︎ Google︎ Scholar
Spencer Brown G. (1969) Laws of form. Allen and Unwin, London http://cepa.info/2382
Varela F. J., Maturana H. R. & Uribe R. (1974) Autopoiesis: The organization of living systems, its characterization and a model. Biosystems 5(4): 187–196 http://cepa.info/546
Wilensky U. & Papert S. (2010) Restructurations: Reformulating knowledge disciplines through new representational forms. In: Clayson J. & Kalas I. (eds.) Proceedings of the constructionism 2010 conference, Paris, France, 10–14 Aug 2010 Library and Publishing Centre, Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia http://cepa.info/3766
Wippler R. & Lindenberg S. (1987) Collective phenomena and rational choice. In: Alexander J. C., Giesen B., Munch R. & Smelser N. J. (eds.) The micro-macro link. University of California Press, Berkeley CA: 135–152. ▸︎ Google︎ Scholar
Wolfram S. (2002) A new kind of science. Wolfram Media, Champaign IL. https://www.wolframscience.com/nksonline
Zeeman E. C. (1977) Catastrophe theory: Selected papers 1972–1977. Addison-Wesley, Reading MA. ▸︎ Google︎ Scholar

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