David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:329 - 335 (1986)
Computational models can aid in the development of philosophical views concerning the structure and growth of scientific knowledge. In cognitive psychology, computational models have proved valuable for describing the structures and processes of thought and for testing these models by writing and running computer programs using the techniques of artificial intelligence. Similarly, in the philosophy of science models can be developed that shed light on the structure, discovery, and justification of scientific theories. This paper briefly describes a computational model of problem solving and learning that has been used to simulate several kinds of scientific reasoning.
|Keywords||No keywords specified (fix it)|
|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
No references found.
Citations of this work BETA
Jon J. Nordby (1989). Bootstrapping While Barefoot (Crime Models Vs. Theoretical Models in the Hunt for Serial Killers). Synthese 81 (3):373 - 389.
Similar books and articles
Andrea Pozzali (2007). Can Tacit Knowledge Fit Into a Computer Model of Scientific Cognitive Processes? The Case of Biotechnology. Mind and Society 6 (2):211-224.
Paul Thagard (1998). Computation and the Philosophy of Science. In T. W. Bynum & J. Moor (eds.), The Digital Phoenix. Cambridge: Blackwell.
David J. Buller (1993). Confirmation and the Computational Paradigm, or, Why Do You Think They Call It Artificial Intelligence? [REVIEW] Minds and Machines 3 (2):155-81.
Paul Thagard (1982). Artificial Intelligence, Psychology, and the Philosophy of Discovery. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:166 - 175.
Subrata Dasgupta (2008). Shedding Computational Light on Human Creativity. Perspectives on Science 16 (2):pp. 121-136.
Jim Davies, Nancy J. Nersessian & Ashok K. Goel (2005). Visual Models in Analogical Problem Solving. Foundations of Science 10 (1):133-152.
David Michael Kaplan (2011). Explanation and Description in Computational Neuroscience. Synthese 183 (3):339-373.
David J. Kijowski, Harry Dankowicz & Michael C. Loui (2013). Observations on the Responsible Development and Use of Computational Models and Simulations. Science and Engineering Ethics 19 (1):63-81.
Giuseppe Boccignone & Roberto Cordeschi, Bayesian Models and Simulations in Cognitive Science. Workshop Models and Simulations 2, Tillburg, NL.
Caspar Addyman & Robert M. French (2012). Computational Modeling in Cognitive Science: A Manifesto for Change. Topics in Cognitive Science 4 (3):332-341.
Margaret A. Boden (1988). Computer Models On Mind: Computational Approaches In Theoretical Psychology. Cambridge University Press.
Ron Sun (ed.) (2008). The Cambridge Handbook of Computational Psychology. Cambridge University Press.
Stephan Hartmann & Roman Frigg (2006). Models in Science. In Ed Zalta (ed.), The Stanford Encyclopedia of Philosophy. Stanford.
Nicola Angius & Guglielmo Tamburrini (2011). Scientific Theories of Computational Systems in Model Checking. Minds and Machines 21 (2):323-336.
Added to index2011-05-29
Total downloads14 ( #120,514 of 1,101,958 )
Recent downloads (6 months)8 ( #34,117 of 1,101,958 )
How can I increase my downloads?