1990
DOI: 10.1002/sdr.4260060203
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Philosophical roots of model validation: Two paradigms

Abstract: System dynamics models, as causal models, are much like scientific theories. Hence, in evaluating such models, we assume certain norms of scientific inquiry. Most critics hold that the system dynamics approach does not employ formal, objective, quantitative model validation tests. This article argues that this type of criticism presupposes the traditional logical empiricist philosophy of science, which assumes that knowledge is an objective representation of reality and that theory justification can be an obje… Show more

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Cited by 224 publications
(150 citation statements)
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“…The causally closed system boundary identifies the endogenous perspective as the feedback view pressed to an extreme. A causally closed structural diagram provides important qualitative insights into the system's behavior [15,[53][54][55] and can facilitate the identification of leverage points for intervention in the system [15]. Based on structural diagrams computer simulation models can be created to experiment on how the system behaves under unanticipated disturbances or policy interventions [15,55,56].…”
Section: Methodology: System Dynamics Structural Thinking Tools For Fmentioning
confidence: 99%
“…The causally closed system boundary identifies the endogenous perspective as the feedback view pressed to an extreme. A causally closed structural diagram provides important qualitative insights into the system's behavior [15,[53][54][55] and can facilitate the identification of leverage points for intervention in the system [15]. Based on structural diagrams computer simulation models can be created to experiment on how the system behaves under unanticipated disturbances or policy interventions [15,55,56].…”
Section: Methodology: System Dynamics Structural Thinking Tools For Fmentioning
confidence: 99%
“…SD is mainly understood as a tool and a methodology for simulating complex systems (see Barlas, 1996;Barlas and Carpenter, 1990;Lane, 2000;Schwaninger, 2006), rather than as a paradigm for problem solving (Morecroft, 1983). Indeed, it may appear somewhat unusual to consider SD simultaneously alongside philosophy, since SD belongs in the sciences, whereas philosophy principally resides in the humanities.…”
Section: The Necessity For Philosophy In Sdmentioning
confidence: 99%
“…Apart from Richardson (1999b), the term 'paradigm' has often been used to implicitly conceptualise SD in systems thinking (see Andersen, 1980;Barlas, 2002;Barlas and Carpenter, 1990;Gregoriades and Karakostas, 2004;Levine, 1983;Meadows, 1980;Meadows and Robinson, 1985;Morecroft, 1983;Schwaninger, 2006), without reflecting Kuhn's (1996) philosophical theorisation of the requirements of paradigm formation. To satisfy Kuhn's requirements, external communication into other fields will be necessary to get others to acknowledge the potential and usefulness of SD.…”
Section: The Necessity For Philosophy In Sdmentioning
confidence: 99%
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“…This paradigm combines elements of instrumentalism, relativism, logical empiricism (or logical positivism), verificationism, critical rationalism, Bayesianism, and pragmatism, while allowing the realist perspective that underlies much of the research and practice of environmental modelling as a central aim (Beven, 2002(Beven, , 2009). Indeed, pragmatic realism is consistent with the relativist/holistic philosophy of science, which underlie the paradigm of systems thinking and system dynamics modelling approach (Sterman, 1984;Forrester, 1968;Barlas and Carpenter, 1990;Barlas, 1996).…”
Section: Towards a Research Plan And Design For This Studymentioning
confidence: 67%