David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Studies in History and Philosophy of Science 42 (2):334-341 (2011)
A distinction is made between theory-driven and phenomenological models. It is argued that phenomenological models are significant means by which theory is applied to phenomena. They act both as sources of knowledge of their target systems and are explanatory of the behaviors of the latter. A version of the shell-model of nuclear structure is analyzed and it is explained why such a model cannot be understood as being subsumed under the theory structure of Quantum Mechanics. Thus its representational capacity does not stem from its close link to theory. It is shown that the shell model yields knowledge about the target and is explanatory of certain behaviors of nuclei. Aspects of the process by which the shell model acquires its representational capacity are analyzed. It is argued that these point to the conclusion that the representational status of the model is a function of its capacity to function as a source of knowledge and its capacity to postulate and explain underlying mechanisms that give rise to the observed behavior of its target.
|Keywords||Models Idealization Abstraction Representation Mechanisms|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Mauricio Suarez (2003). Scientific Representation: Against Similarity and Isomorphism. International Studies in the Philosophy of Science 17 (3):225-244.
Roman Frigg (2006). Scientific Representation and the Semantic View of Theories. Theoria 21 (1):49-65.
Stephan Hartmann (1999). Models and Stories in Hadron Physics. In Margaret Morrison & Mary Morgan (eds.), Models as Mediators. 52--326.
Margaret C. Morrison (1998). Modelling Nature: Between Physics and the Physical World. Philosophia Naturalis 35 (1):65-85.
Nancy Cartwright, Models and the Limits of Theory: Quantum Hamiltonians and the BCS Model of Superconductivity.
Citations of this work BETA
Margaret Morrison (2011). One Phenomenon, Many Models: Inconsistency and Complementarity. Studies in History and Philosophy of Science 42 (2):342-351.
Similar books and articles
Chuang Liu (2004). Approximations, Idealizations, and Models in Statistical Mechanics. Erkenntnis 60 (2):235-263.
Susan G. Sterrett (2006). Models of Machines and Models of Phenomena. International Studies in the Philosophy of Science 20 (1):69 – 80.
Tarja Knuuttila (2011). Modelling and Representing: An Artefactual Approach to Model-Based Representation. Studies in History and Philosophy of Science 42 (2):262-271.
Demetris P. Portides (2005). A Theory of Scientific Model Construction: The Conceptual Process of Abstraction and Concretisation. [REVIEW] Foundations of Science 10 (1):67-88.
Tarja Knuuttila (2009). Isolating Representations Versus Credible Constructions? Economic Modelling in Theory and Practice. Erkenntnis 70 (1):59 - 80.
Daniela M. Bailer-Jones (2003). When Scientific Models Represent. International Studies in the Philosophy of Science 17 (1):59 – 74.
Uskali Mäki (2009). MISSing the World. Models as Isolations and Credible Surrogate Systems. Erkenntnis 70 (1):29 - 43.
Alisa Bokulich (2011). How Scientific Models Can Explain. Synthese 180 (1):33 - 45.
Added to index2009-01-28
Total downloads56 ( #59,690 of 1,725,584 )
Recent downloads (6 months)4 ( #167,283 of 1,725,584 )
How can I increase my downloads?