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The Heuristic Value of Combinatory Systems Theory

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The Combinatory Systems Theory

Part of the book series: Contemporary Systems Thinking ((CST))

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Abstract

Chapter 1 presented the basic ideas behind the theory, which are analysed in some detail. Chapter 2 described the heuristic models of several relevant combinatory systems in the context of the five typical classes. Chapter 3 developed the Theory of Combinatory Automata, models for simulating the operative logic of combinatory systems. This Chapter tries to answer three questions: are combinatory systems “systems” in the true sense of the term? Why is this theory able to explain so many and so varied a number of phenomena, even though it is based on a very simple modus operandi? Are combinatory systems different than complex systems?

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Notes

  1. 1.

    We must not confuse the endogenous or exogenous point of view with the external or internal description of a system. In fact, the internal, structural, external, or environmental descriptions always involve systems observed from an exogenous point of view; the observer that describes the system does not study the nature of the system; that is, the elements and relations that make up the system and define its state and output: “The internal description is basically “structural”; that is, it tries to describe the behavior of the system in terms of state variables and their interdependence. The external description is nevertheless “functional”, since it describes the behavior of the system through its interactions with the external environment” (von Bertalanffy 1968, p. 149).

  2. 2.

    “The notion of bounded rationality, originally developed by Herbert Simon, has occupied an important place in many discussions about an alternative to neoclassical economics. Some of these discussions take place within the so-called “old” (or “original”) and “new” institutionalisms. In other cases, a connection between bounded rationality and an alternative theory is established via fundamental uncertainty by some authors such as Tony Lawson (1985), J. Gay Meeks (1991), and Roberto Marchionatti (1999), who suggested that John Maynard Keynes notion of rationality was similar to Simon’s bounded rationality or that he would be sympathetic to Simon’s views (see also Garner 1982; Arestis 1992; Lavoie 1992). Discussing bounded rationality has become even more important with its growing incorporation into the mainstream of our profession (see the surveys by Barton Lipman (1995), John Conlisk (1996) and, with special reference to game theory, Robert Aumann (1997)), often with the aim of strengthening neoclassical economics rather than replacing it, as pointed out by Esther-Mirjam Sent (1998)” (Dequech 2001, p. 911).

References

  • Ahmed E, Elgazzar AS, Hegazi AS (2005) An overview of complex adaptive systems. arXiv preprint nlin/0506059

    Google Scholar 

  • Ashford N (2001) Principles for a free society. Jarl Hjalmarson Foundation. http://www.opportunitiesforafricans.com/wp-content/uploads/2013/04/1.Principles-of-a-FreeSociety.pdf

  • Chan D (1998) Functional relations among constructs in the same content domain at different levels of analysis: a typology of composition models. J Appl Psychol 83(2):234

    Article  Google Scholar 

  • Csányi V (1966) Organization, function, and creativity in biological and social systems. In: Khalil EL, Boulding KE (eds) Evolution, order and complexity. Routledge, London, pp 146–180

    Google Scholar 

  • Cupples B (1977) Three types of explanation. Philos Sci 44(3):387–408

    Article  Google Scholar 

  • Dequech D (2001) Bounded rationality, institutions, and uncertainty. J Econ Issues 35(4):911–929

    Article  Google Scholar 

  • Dooley K (1996) Complex adaptive systems: a nominal definition. Chaos Netw 8(1):2–3

    Google Scholar 

  • Dooley KJ (1997) A complex adaptive systems model of organization change. Nonlinear Dynamics Psychol Life Sci 1(1):69–97

    Article  Google Scholar 

  • Dupuy JP (2005) Panic and the paradoxes of the social order. In: Palaver W, Steinmair-Pösel P (eds) Passions in economy, politics, and the media: in discussion with Christian theology, vol 17. LIT Verlag, Münster, pp 216–234

    Google Scholar 

  • Einstein 1926, quoted by Heisenberg 1989

    Google Scholar 

  • Foley DK (1998) Introduction. In: Albin PS (ed) Barriers and bounds to rationality: essays on economic complexity and dynamics in interactive systems. Princeton University Press, Princeton

    Google Scholar 

  • Franz W (1990) Hysteresis in economic relationships: an overview. In: Franz W (ed) Hysteresis effects in economic models. Physica-Verlag, Heidelberg, pp 1–17. https://www.econstor.eu/bitstream/10419/101650/1/733236960.pdf

    Chapter  Google Scholar 

  • Gaffeo E (1999) Tutorial on social interaction economics. In: Gallegati M, Kirman A (eds) Beyond the representative agent. Edward Elgar, Cheltenham, pp 45–73

    Google Scholar 

  • Gell-Mann M (1994) The Jaguar and the Quark: adventures in the simple and the complex. Freeman & Co., New York. Excerpt: http://authors.library.caltech.edu/60491/1/MGM%20113.pdf

    Google Scholar 

  • Gell-Mann M (1995) What is complexity? Complexity 1(5). http://complexity.martinsewell.com/Gell95.pdf

  • Gilbert N (1995) Simulation: an emergent perspective. In: Conference on New Technologies in the Social Sciences, October, pp 27–29. http://cress.soc.surrey.ac.uk/resources/emergent.html.

  • Hawking SW, Mlodinow L (2010) The grand design. Random House Publishing Group. Excerpt, http://bookre.org/reader?file=65691

  • Heisenberg W (1989) Theory, criticism and a philosophy. In: Salam A et al (eds) From a life of physics. Singapore, WSP, pp 31–56

    Chapter  Google Scholar 

  • Holland JH (1995) Hidden order: how adaptation builds complexity. Perseus Books, Cambridge

    Google Scholar 

  • Khalil EL, Boulding KE (eds) (1996) Evolution, order, and complexity. Routledge, London

    Google Scholar 

  • Keynes JM (1937) The general theory of employment. Q J Econ 51:209–223

    Article  Google Scholar 

  • Le Moigne JL (1994). La théorie du système général: théorie de la modélisation. Collection Les Classiques du Reseau Intelligence de la Complexite. www.mcxapc.org

  • Lennox JG (1992) Teleology. In: Keller EF, Lloyd EA (eds) Keywords in evolutionary biology. Harvard University Press, Cambridge, pp 323–333

    Google Scholar 

  • Maturana HR, Varela FJ (1980, 1st edn. 1972) Autopoiesis and cognition. The realization of living. Reidel Publishing, Dordrecht

    Google Scholar 

  • Maturana HR, Varela FJ (1987) The tree of knowledge: the biological roots of human understanding. New Science Library/Shambhala Publications, Boston

    Google Scholar 

  • Mella P (2014b) The pillars of learning, understanding, studying and explaining. Creat Educ 5:1615–1628

    Article  Google Scholar 

  • Pelikan P (2001) Self-organizing and Darwinian selection in economic and biological evolutions: an enquiry into the sources of organizing information. In: Foster J, Metcalfe JS (eds) Frontiers of evolutionary economics: competition, self-organization, and innovation policy. Edward Elgar, Cheltenham, pp 121–151

    Google Scholar 

  • Plamondon AL (1979) Whitehead’s organic philosophy of science. State University of New York Press, Albany

    Google Scholar 

  • Reichholf JH, Mattson P (1994) Zoology: biodiversity why are there so many different species? Universitas (1) 42

    Google Scholar 

  • Rubinstein A (1998) Modeling bounded rationality. MIT Press

    Google Scholar 

  • Sandquist GM (1985) Introduction to system science. Prentice-Hall, Upper Saddle River

    Google Scholar 

  • Senge P, Lannon-Kim C (1991) The systems thinking approach. Syst Think Newsl 2(5):24–27

    Google Scholar 

  • Simon HA (1955) A behavioral model of rational choice. Q J Econ 69(1):99–118

    Article  Google Scholar 

  • Simon HA (1976) Administrative behavior: a study of decision-making processes in administrative organization, 3rd edn. The Free Press, New York

    Google Scholar 

  • Simon HA (1990) lnvariants of human behavior. Annu Rev Psychol 41:1–19

    Article  Google Scholar 

  • Thom R (1975) Structural stability and morphogenesis: an outline of a general theory of models (trans. Fowler DH). W. A. Benjamin, Reading

    Google Scholar 

  • von Bertalanffy L (1968) General system theory: foundations, development, applications. Braziller, New York

    Google Scholar 

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Mella, P. (2017). The Heuristic Value of Combinatory Systems Theory. In: The Combinatory Systems Theory. Contemporary Systems Thinking. Springer, Cham. https://doi.org/10.1007/978-3-319-54805-0_4

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