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System Dynamics Philosophical Background and Underpinnings

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Complex Systems in Finance and Econometrics
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Article Outline

Glossary

Definition of the Subject

Introduction

System Dynamics

“Real” World and Presentationalism

The Discussions on Positivism: Presentationalism and Knowledge

A Brief Note Regarding Social Theory

Simulation and Method

Future Directions

Bibliography

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Abbreviations

Philosophy:

The reflection and study of our most basic assumptions – or the assumptions themselves.

Mental model:

A mental image of selected concepts and relationships of the world around us which we consider relevant for explaining the behavior of a particular system.

Presentationalism:

Synonymous of idealism. The view that material objects or external realities do not exist apart from our knowledge or consciousness of them.

Bibliography

  1. Aronson JL (1988) Testing for Convergent Realism. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, vol One: Contributed Papers. University of Chicago Press, Chicago, pp 188–193

    Google Scholar 

  2. Axelrod R (1997) Advancing the art of simulation in the social science. In: Conte R, Hegselmann R, Terna P (eds) Simulating Social Phenomena. Springer, Berlin, pp 21–40

    Google Scholar 

  3. Barlas Y, Carpenter S (1990) Philosophical roots of model validation: two paradigms. Syst Dyn Rev 6:148–166

    Google Scholar 

  4. Bartley III WW (1987) Philosophy of biology versus philosophy of physics. In: Radnitzky G, Bartley III WW (eds) Evolutionary epistemology, rationality, and the sociology of knowledge. Open Court, La Salle, pp 7–45

    Google Scholar 

  5. Bechtel W, Richardson RC (1993) Discovering complexity: Decomposition and localization as strategies in scientific research. Princeton University Press, Princeton

    Google Scholar 

  6. Benjamin AC (1941) Modes of scientific explanation. Philos Sci 8:486–492

    Google Scholar 

  7. Berger R (1998) Understanding science: Why causes are not enough. Philos Sci 65:306–332

    Google Scholar 

  8. Berkeley G (1948–1957) The works of George Berkeley, Bishop of Cloyne. Thomas Nelson and Sons, London

    Google Scholar 

  9. Black M (1934) The principle of verifiability. Analysis 2:1–6

    Google Scholar 

  10. Blackmore J (1979) On the inverted use of the terms ‘Realism’ and ‘Idealism’ among scientists and historians of science. Br J Philos Sci 30:125–134

    Google Scholar 

  11. Bowman AA (1916) Kant's phenomenalism in its relation to subsequent metaphysics. Mind, New Ser 25:461–489

    Google Scholar 

  12. Brandon RN (1984) Grene on mechanism and reductionism: more than just a side issue. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, vol II: Symposia and Invited Papers. University of Chicago Press, Chicago, pp 345–353

    Google Scholar 

  13. Brown HI (1990) Cherniak on scientific realism. Br J Philos Sci 41:415–427

    Google Scholar 

  14. Burrell G, Morgan G (1979) Sociological paradigms and organizational analysis. Heinemann, London

    Google Scholar 

  15. Chapin JP (1941) Idealism and its relation to science. Philosophy of Science 8:142–146

    Google Scholar 

  16. Checkland P, Pidd M, Morecroft J (2004) Working ideas, insights for systems modeling: The Broader community of systems thinkers. In: Kennedy M, Winch G, Langer R, Rowe J, Yanni J (eds) Proceedings of the 22nd International Conference of the System Dynamics Society, Keble College, University of Oxford, England. System Dynamics Society, Albany

    Google Scholar 

  17. Coyle G (2000) Qualitative and quantitative modelling in system dynamics: some research questions. Syst Dyn Rev 16:225–244

    Google Scholar 

  18. Coyle RG (1979) Management system dynamics. Wiley, Chichester

    Google Scholar 

  19. Deetz S (1996) Describing differences in approaches to organization science: Rethinking Burrell and Morgan and their legacy. Organ Sci 7:191–207

    Google Scholar 

  20. Dickson M (1995) An empirical reply to empiricism: Protective measurements opens the door for quantum realism. Philos Sci 62:122–140

    Google Scholar 

  21. Doyle JK, Ford DN (1998) Mental models concepts for system dynamics research. Syst Dyn Rev 14:3–29

    Google Scholar 

  22. Doyle JK, Ford DN (1999) Mental models concepts revisited: some clarifications and a reply to Lane. Syst Dyn Rev 15:411–415

    Google Scholar 

  23. Flood R, Jackson M (1991) Creative problem solving. Wiley, Chichester

    Google Scholar 

  24. Forrester JW (1961) Industrial Dynamics. Press MIT, Cambridge

    Google Scholar 

  25. Forrester JW (1971) Principles of Systems. Wright‐Allen Press, Cambridge

    Google Scholar 

  26. Forrester JW (1975) Counterintuitive behavior of social systems. In: Collected papers of Jay W. Forrester. Wright‐Allen Press, Cambridge, pp 211–244

    Google Scholar 

  27. Forrester JW (1975) Industrial Dynamics: A Major breakthrough for decision makers. In: Collected papers of Jay W Forrester. Wright‐Allen Press, Cambridge, pp 1–29

    Google Scholar 

  28. Forrester JW (1975) Industrial Dynamics – After the first decade. In: Collected papers of Jay W. Forrester. Wright‐Allen Press, Cambridge, pp 133–150

    Google Scholar 

  29. Forrester JW (1985) “The” model versus a modeling “process”. Syst Dyn Rev 1:133–134

    Google Scholar 

  30. Forrester JW (1987) Lessons from system dynamics modeling. Syst Dyn Rev 3:136–149

    Google Scholar 

  31. Forrester JW (1994) System dynamics, systems thinking, and soft OR. Syst Dyn Rev 10:245–256

    Google Scholar 

  32. Forrester JW (2003) Dynamic models of economic systems and industrial organizations. Syst Dyn Rev 19:331–345

    Google Scholar 

  33. Fuller S (1994) Retrieving the point of the realism‐instrumentalism debate: Mach vs. Planck on science education policy. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, vol One: Contributed Papers. University of Chicago Press, Chicago, pp 200–208

    Google Scholar 

  34. Gershenson C, Aerts D, Edmonds B (2007) Worldviews, science and us. Philosophy and complexity. World Scientific, Singapore

    Google Scholar 

  35. Gilbert N, Troitzsch KG (1999) Simulation for the social scientist. Open University Press, Buckingham

    Google Scholar 

  36. Glennan SS (2002) Rethinking mechanistic explanation. Philos Sci 69:342–353

    Google Scholar 

  37. Guyer P (1983) Kant's intentions in the refutation of idealism. Philos Rev 92:329–383

    Google Scholar 

  38. Hayek FA (1955) Degrees of explanation. Br J Philos Sci 6:209–225

    Google Scholar 

  39. Hayek FA (1942) Scientism and the study of society, Part I. Economica, New Ser 9:267–291

    Google Scholar 

  40. Hayek FA (1943) Scientism and the study of society, Part II. Economica, New Ser 10:34–63

    Google Scholar 

  41. Hempel CG, Oppenheim P (1948) Studies in the logic of explanation. Philos Sci 15:135–175

    Google Scholar 

  42. Hesslow G (1981) Causality and determinism. Philos Sci 48:591–605

    Google Scholar 

  43. Hitchcock CR, Salmon WC (2000) Statistical explanation. In: Newton‐Smith WH (ed) A Companion to the philosophy of science. Blackwell Publishers, Malden, pp 470–479

    Google Scholar 

  44. Homer JB (1996) Why we iterate: scientific modeling in theory and practice. Syst Dyn Rev 12:1–19

    Google Scholar 

  45. Hume D (1740) A treatise of human nature. Oxford University Press, Oxford

    Google Scholar 

  46. Humphreys P (2000) Causation. In: Newton‐Smith WH (ed) A companion to the philosophy of science. Blackwell Publishers, Malden, pp 31–40

    Google Scholar 

  47. Hunter B (1992) Empiricism. In: Dancy J, Sosa E (eds) A Companion to Epistemology. Blackwell Publishers, Oxford, pp 110–115

    Google Scholar 

  48. Jackson M (1991) Systems methodology for the management sciences. Plenum Press, New York

    Google Scholar 

  49. Jackson M (2003) Systems thinking: Creative holism for managers. Wiley, Chichester

    Google Scholar 

  50. Jobe EK (1985) Explanation, causality, and counterfactuals. Philos Sci 52:357–389

    Google Scholar 

  51. Kleindorfer GB, Ganeshan R (1993) The philosophy of science and validation in simulation. In: Evans GW, Mollaghasemi M, Russell EC, Biles WE (eds) Proceedings of the 1993 Winter Simulation Conference. IEEE, Piscataway, pp 50–57

    Google Scholar 

  52. Kukla A (1995) Scientific realism and theoretical unification. Analysis 55:230–238

    Google Scholar 

  53. Lane D (1994) With a little help from our friends: How system dynamics and soft OR can learn from each other. Syst Dyn Rev 10:101–134

    Google Scholar 

  54. Lane D (1999) Friendly amendment: A commentary on Doyle and Ford's proposed re‐definition of ‘mental model’. Syst Dyn Rev 15:185–194

    Google Scholar 

  55. Lane D (2000) Should system dynamics be described as a ‘Hard’ or ‘Deterministic’ systems approach? Syst Res Behav Sci 17:3–22

    Google Scholar 

  56. Lane D (2001) Rerum cognoscere causas: Part I – How do the ideas of system dynamics relate to traditional social theories and the voluntarism/determinism debate? Syst Dyn Rev 17:97–118

    Google Scholar 

  57. Lane D (2001) Rerum cognoscere causas: Part II – Opportunities generated by the agency/structure debate and suggestions for clarifying the social theoretic position of system dynamics. Syst Dyn Rev 17:293–309

    Google Scholar 

  58. Lane D, Smart C (1996) Reinterpreting ‘generic structure’: evolution, application and limitations of a concept. Syst Dyn Rev 12:87–120

    Google Scholar 

  59. Leplin J (1992) Realism and Methodological Change. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, vol Two: Symposia and Invited Papers. University of Chicago Press, Chicago, pp 435–445

    Google Scholar 

  60. Leplin J (2000) Realism and Instrumentalism. In: Newton‐Smith WH (ed) A Companion to the Philosophy of Science. Blackwell Publishers, Malden, pp 393–401

    Google Scholar 

  61. Luna-Reyes LF, Andersen DL (2003) Collecting and analyzing qualitative data for system dynamics: methods and models. Syst Dyn Rev 19:271–296

    Google Scholar 

  62. Machamer P, Darden L, Craver CF (2000) Thinking about mechanisms. Philos Sci 67:1–25

    Google Scholar 

  63. Meadows DH (1980) The Unavoidable A Priori. In: Randers J (ed) Elements of the system dynamics method. Productivity Press, Cambridge, pp 23–57

    Google Scholar 

  64. Milford K (1994) In pursuit of rationality. A note on Hayek's The Counter‐Revolution of Science. In: Birner J, van Zijp R (eds) Hayek, Co‐ordination and Evolution. Routledge, London, pp 323–340

    Google Scholar 

  65. Mojtahedzadeh M, Andersen D, Richardson GP (2004) Using digest to implement the pathway participation method for detecting influential system structure. Syst Dyn Rev 20:1–20

    Google Scholar 

  66. Morrison M (1988) Reduction and realism. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, vol One: Contributed Papers. University of Chicago Press, Chicago, pp 286–293

    Google Scholar 

  67. Morrison M (1990) Unification, realism and inference. Br J Philos Sci 41:305–332

    Google Scholar 

  68. Newton‐Smith WH (1988) Modest realism. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, vol Two: Symposia and Invited Papers. University of Chicago Press, Chicago, pp 179–189

    Google Scholar 

  69. Newton‐Smith WH (2000) Explanation. In: Newton‐Smith WH (ed) A companion to the philosophy of science. Blackwell Publishers, Malden/Oxford, pp 127–133

    Google Scholar 

  70. Newton‐Smith WH (2000) Hume. In: Newton‐Smith WH (ed) A companion to the philosophy of science. Blackwell Publishers, Malden, pp 165–168

    Google Scholar 

  71. Paich M (1985) Generic structures. Syst Dyn Rev 1:126–132

    Google Scholar 

  72. Pettit P (1992) Realism. In: Dancy J, Sosa E (eds) A companion to epistemology. Blackwell Publishers, Oxford, pp 420–424

    Google Scholar 

  73. Popper K (1963) Conjectures and refutations. The growth of scientific knowledge. Routledge and Kegan Paul, London

    Google Scholar 

  74. Popper K (1968) The Logic of Scientific Discovery. Hutchinson, London

    Google Scholar 

  75. Psillos S (1996) Scientific realism and the “pessimistic induction”. Proceedings of the Biennial Meeting of the Philosophy of Science Association, Part I: Contributed Papers. University of Chicago Press, Chicago, pp S306-S314

    Google Scholar 

  76. Radnitzky G (1987) In defense of self‐applicable critical rationalism. In: Radnitzky G, Bartley III WW (eds) Evolutionary epistemology, rationality, and the sociology of knowledge. Open Court, La Salle, pp 279–312

    Google Scholar 

  77. Rescher N (1992) Idealism. In: Dancy J, Sosa E (eds) A companion to epistemology. Blackwell Publishers, Oxford, pp 187–191

    Google Scholar 

  78. Richardson GP (1991) Feedback thought in social science and systems theory. Pegasus Communications, Waltham

    Google Scholar 

  79. Richardson GP (1996) Problems for the future of system dynamics. Syst Dyn Rev 12:141–157

    Google Scholar 

  80. Richardson KA (2002) On the limits of bottom-up computer simulation: Towards a nonlinear modeling culture. In: Sprague RH Jr (ed) Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS'03). IEEE

    Google Scholar 

  81. Roberts EB (1978) System dynamics – An introduction. In: Roberts EB (ed) Managerial applications of system dynamics. Pegasus Communications Inc., Waltham

    Google Scholar 

  82. Rohrlich F (1990) Computer simulation in the physical sciences. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, vol Two: Symposia and Invited Papers. University of Chicago Press, Chicago, pp 507–518

    Google Scholar 

  83. Ruben D (1990) Explaining explanation. Routledge, London

    Google Scholar 

  84. Runciman WG (1969) What is structuralism? Br J Sociol 20:253–265

    Google Scholar 

  85. Russell B (1912) The problems of philosophy. Oxford University Press, Oxford

    Google Scholar 

  86. Russell B (1948) Human knowledge: Its scope and limits. Simon and Schuster, New York

    Google Scholar 

  87. Salmon W (1992) Explanation. In: Dancy J, Sosa E (eds) A companion to epistemology. Blackwell Publishers, Oxford, pp 129–132

    Google Scholar 

  88. Salmon WC (2000) Logical Empiricism. In: Newton‐Smith WH (ed) A companion to the philosophy of science. Blackwell Publishers, Malden, pp 233–242

    Google Scholar 

  89. Schaffernicht M (2006) Detecting and monitoring change in models. Syst Dyn Rev 22:73–88

    Google Scholar 

  90. Schlagel RH (1981) Contextualistic realism. Philos Phenomenol Res 41:437–451

    Google Scholar 

  91. Sellars W (1976) Is scientific realism tenable? PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, vol Two: Symposia and Invited Papers. University of Chicago Press, Chicago, pp 307–334

    Google Scholar 

  92. Senge P (1990) The fifth discipline: The art and practice of the learning organization. Doubleday, New York

    Google Scholar 

  93. Sidgwick H, Caird E (1880) Kant's refutation of idealism. Mind, New Ser 5:111–115

    Google Scholar 

  94. Sinha D (1963) Phenomenology and positivism. Philos Phenomenol Res 23:562–577

    Google Scholar 

  95. Smith DW (1982) The realism in perception. Noûs 16:42–55

    Google Scholar 

  96. Spender J-C (1996) Making knowledge the basis of a dynamic theory of the firm. Strateg Manag J 17:45–62

    Google Scholar 

  97. Stace WT (1944) Positivism. Mind, New Ser 53:215–237

    Google Scholar 

  98. Sterman J (2000) Business dynamics. Systems thinking and modeling for a complex world. McGraw‐Hill, Boston

    Google Scholar 

  99. Tabery JG (2004) Synthesizing activities and interactions in the concept of a mechanism. Philos Sci 71:1–15

    Google Scholar 

  100. Taube M (1937) Positivism, science, and history. J Philos 34:205–210

    Google Scholar 

  101. Turbayne CM (1955) Kant's refutation of dogmatic idealism. Philos Q 5:225–244

    Google Scholar 

  102. Vanderminden P (2006) System dynamics – A field of study, a methodology or both. In: Größler A, Rouwette E, Langer R, Rowe J, Yanni J (eds) 24th International Conference of The System Dynamics Society. Radboud University Nijmegen, System Dynamics Society, Albany

    Google Scholar 

  103. Vásquez M, Liz M, Aracil J (1996) Knowledge and reality: some conceptual issues in system dynamics modeling. Syst Dyn Rev 12:21–37

    Google Scholar 

  104. Weimer W (1999) Hayek's approach to the problems of complex phenomena: an introduction to the theoretical psychology of The Sensory Order. In: Boettke P (ed) The Legacy of Friedrich von Hayek, vol II. Edward Elgar Publishing Limited, Cheltenham, pp 200–244

    Google Scholar 

  105. Winsberg E (1999) Sanctioning models: The epistemology of simulation. Sci Context 12:275–293

    Google Scholar 

  106. Winsberg E (2003) Simulated experiments: Methodology for a virtual world. Philos Sci 70:105–125

    Google Scholar 

  107. Winsberg E (2001) Simulations, models, and theories: Complex physical systems and their representations. Philos Sci 68:S442–S454

    Google Scholar 

  108. Wolstenholme EF (1990) System enquiry. Wiley, Chichester

    Google Scholar 

  109. Wolstenholme EF (2003) Towards the definition and use of a core set of archetypal structures in system dynamics. Syst Dyn Rev 19:7–26

    Google Scholar 

  110. Wolstenholme EF (2004) Using generic system archetypes to support thinking and modelling. Syst Dyn Rev 20:341–356

    Google Scholar 

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Olaya, C. (2009). System Dynamics Philosophical Background and Underpinnings. In: Meyers, R. (eds) Complex Systems in Finance and Econometrics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7701-4_45

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