Zwischen berechenbarkeit und nichtberechenbarkeit. Die thematisierung der berechenbarkeit in der aktuellen physik komplexer systeme
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 34 (1):99-131 (2003)
Between Calculability and Non-Calculability. Issues of Calculability and Predictability in the Physics of Complex Systems. The ability to predict has been a very important qualifier of what constitutes scientific knowledge, ever since the successes of Babylonian and Greek astronomy. More recent is the general appreciation of the fact that in the presence of deterministic chaos, predictability is severely limited (the so-called ‘butterfly effect’): Nearby trajectories diverge during time evolution; small errors typically grow exponentially with time. The system obeys deterministic laws and still is unpredictable, seemingly a paradox for the traditional viewpoint of Laplacian determinisms. With the concept of deterministic chaos the epistemological issue about an adequate understanding of predictability is no longer just a mere philosophical topic. Physicists on the one hand recognize the limits of (long term) predictability, computability and even of scientific knowledge, on the other hand they work on concepts for extending the horizon of predictability. It is shown in this paper that physics of complex systems is useful to clarify the jungle of different meanings of the terms ‘predictability’ and ‘computability’ — also with philosophical implications for understanding science and nature. Today, from the physical point of view, the relevance of the concepts of predictability seems to be underestimated by philosophers as a mere methodological topic. In the paper I analyse the importance of predictability and computability in physics of complex systems. I show a way how to cope with problems of unpredictability and noncomputability. Nine different concepts of predictability and computability (i.e. open solution, sensitivity/chaos, redundancy/chance) are presented, compared and evaluated.
|Keywords||chaos theory complex systems computability methodology nonlinearity predictability|
|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
No citations found.
Similar books and articles
H. M. Malm (1989). Commodification or Compensation: A Reply to Ketchum. Hypatia 4 (3):128 - 135.
Peter J. Taylor (1994). Shifting Frames: From Divided to Distributed Psychologies of Scientific Agents. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1994:304 - 310.
Stefan Rummens & Stefaan E. Cuypers (2010). Determinism and the Paradox of Predictability. Erkenntnis 72 (2):233 - 249.
H. E. Baber (1987). How Bad Is Rape? Hypatia 2 (2):125 - 138.
P. X. Monaghan (2010). A Novel Interpretation of Plato's Theory of Forms. Metaphysica 11 (1):63-78.
Robert Batterman (1992). Quantum Chaos and Semiclassical Mechanics. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:50 - 65.
Theodor Leiber (1997). On the Actual Impact of Deterministic Chaos. Synthese 113 (3):357-379.
Fred W. Markham (1998). A Method for Introducing the Concepts of Chaos Theory to Medical Students. Theoretical Medicine and Bioethics 19 (1):1-4.
Added to index2009-01-28
Total downloads7 ( #304,000 of 1,726,249 )
Recent downloads (6 months)2 ( #289,836 of 1,726,249 )
How can I increase my downloads?