Discrete state systems, Markov chains, and problems in the theory of scientific explanation and prediction
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Philosophy of Science 30 (4):325-345 (1963)
Recent discussions in the philosophy of science have devoted considerable attention to the analysis of conceptual issues relating to the methodology of explanation and prediction in the sciences. Part of this literature has been devoted to clarifying the very ideas of explanation and prediction. But the discussion has also ranged over various related topics, including the status of laws to be used for explanatory and predictive purposes, the logical interrelationships between explanatory and predictive reasonings, the differences in the strategy of explanatory argumentation in different branches of science, the nature and possibility of teleological explanation, etc. The aim of the present article is to examine the issues involved in such questions from the specialized perspective afforded by one particular kind of physical systems--namely, systems, here to be characterized as discrete state systems, whose behavior has been studied extensively in the scientific literature under the general heading of Markov chains. These systems have been chosen as our focus because their behavior over time can be analyzed at once with great ease and with extraordinary precision
|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
Jonathan Fuller, Alex Broadbent & Luis J. Flores (2015). Prediction in Epidemiology and Medicine. Studies in History and Philosophy of Science Part C.
Heather Douglas (2010). Engagement for Progress: Applied Philosophy of Science in Context. Synthese 177 (3):317-335.
Lennart Åqvist (1989). On the Logic of Causally Necessary and Sufficient Conditions: Towards a Theory of Motive-Explanations of Human Actions. [REVIEW] Erkenntnis 31 (1):43 - 75.
Jan Doroszewski (1980). Hypothetico-Nomological Aspects of Medical Diagnosis Part I: General Structure of the Diagnostic Process and its Hypothesis-Directed Stage. Theoretical Medicine and Bioethics 1 (2):177-194.
Jan Doroszewski (1980). Hypothetico-Nomological Aspects of Medical Diagnosis Part I: General Structure of the Diagnostic Process and its Hypothesis-Directed Stage. Metamedicine 1 (2):177-194.
Similar books and articles
Rasmus Grønfeldt Winther (2011). Part-Whole Science. Synthese 178 (3):397-427.
Neil Tennant (2010). The Logical Structure of Scientific Explanation and Prediction: Planetary Orbits in a Sun's Gravitational Field. Studia Logica 95 (1/2):207 - 232.
Mark Burgin & Vladimir Kuznetsov (1994). Scientific Problems and Questions From a Logical Point of View. Synthese 100 (1):1 - 28.
W. A. Suchting (1967). Deductive Explanation and Prediction Revisited. Philosophy of Science 34 (1):41-52.
S. J. Paul M. Quay (1978). A Philosophical Explanation of the Explanatory Functions of Ergodic Theory. Philosophy of Science 45 (1):47-59.
Michael Strevens (2006). Scientific Explanation. In D. M. Borchert (ed.), Encyclopedia of Philosophy, second edition.
Joseph F. Hanna (1969). Explanation, Prediction, Description, and Information Theory. Synthese 20 (3):308 - 334.
Heather E. Douglas (2009). Reintroducing Prediction to Explanation. Philosophy of Science 76 (4):444-463.
Kristin Andrews (2003). Knowing Mental States: The Asymmetry of Psychological Prediction and Explanation. In Quentin Smith & Aleksandar Jokic (eds.), Consciousness: New Philosophical Perspectives. Oxford University Press
Added to index2009-01-28
Total downloads17 ( #209,157 of 1,792,850 )
Recent downloads (6 months)3 ( #282,371 of 1,792,850 )
How can I increase my downloads?