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Epistemological Limits to Scientific Prediction: The Problem of Uncertainty

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A key issue regarding the reliability of scientific prediction is uncertainty, which also affects its possibility as scientific knowledge. Thus, uncertainty is directly related to the epistemological limits of prediction in science. Within this context, this paper considers the obstacles to scientific predictions that are related to uncertainty. The analysis is made according to the twofold character of the limits of science, which is characterized in terms of the “barriers” and the “confines.” In addition, the study takes into account the presence of internal and external factors related to the epistemological limits of science. Following these lines of research, the analysis is focused on two steps. First, there is a characterization of the coordinates of Nicholas Rescher’s approach, which is particularly important regarding the epistemological limits to scientific prediction. Second, there is a study of uncertainty as an epistemological obstacle to predictability. Thereafter, the consequences for the future are pointed out.
Cite this paper
Guillan, A. (2014) Epistemological Limits to Scientific Prediction: The Problem of Uncertainty. Open Journal of Philosophy, 4, 510-517. doi: 10.4236/ojpp.2014.44053. 
 

[1] Eagle, A. (2005). Randomness Is Unpredictability. British Journal for the Philosophy of Science, 56, 749-790.
http://dx.doi.org/10.1093/bjps/axi138
[2] Ericsson, N. R. (2002). Predictable Uncertainty in Economic Forecasting. In M. Clements, & D. F. Hendry (Eds.), A Companion to Economic Forecasting (pp. 19-44). Oxford: Blackwell.
[3] Gonzalez, W. J. (1997). Rationality in Economics and Scientific Predictions: A Critical Reconstruction of Bounded Rationality and its Role in Economic Predictions. Poznan Studies in the Philosophy of the Sciences and the Humanities, 61, 205-232.
[4] Gonzalez, W. J. (1999). Racionalidad científica y actividad humana: Ciencia y valores en la Filosofía de Nicholas Rescher. In N.Rescher (Ed.), Razón y valores en la Era científico-tecnológica (pp. 11-44). Barcelona: Paidós.
[5] Gonzalez, W. J. (2003). Racionalidad y Economía: De la racionalidad de la Economía como Ciencia a la racionalidad de los agentes económicos. In W. J. Gonzalez, (Ed.), Racionalidad, historicidad y predicción en Herbert A. Simon (pp. 65-96). A Coru?a: Netbiblo.
[6] Gonzalez, W. J. (2006). Prediction as Scientific Test of Economics. In W. J. Gonzalez & J. Alcolea (Eds.), Contemporary Perspectives in Philosophy and Methodology of Science (pp. 83-112). A Coru?a: Netbiblo.
[7] Gonzalez, W. J. (2008). Rationality and Prediction in the Sciences of the Artificial: Economics as a Design Science. In M. C. Galavotti, R. Scazzieri & P. Suppes (Eds.), Reasoning, Rationality, and Probability (pp. 165-186). Stanford: CSLI Publications.
[8] Gonzalez, W. J. (2010). La predicción científica. Concepciones filosófico-metodológicas desde H. Reichenbach a N. Rescher. Barcelona: Montesinos.
[9] Gonzalez, W. J. (2011). Complexity in Economics and Prediction: The Role of Parsimonious Factors. In D. Dieks, W. J. Gonzalez, S. Hartman, Th. Uebel, & M. Weber (Eds.), Explanation, Prediction, and Confirmation (pp. 319-330). Dordrecht: Springer.
http://dx.doi.org/10.1007/978-94-007-1180-8_22
[10] Gonzalez, W. J. (2012). La vertiente dinámica de las Ciencias de la Complejidad. Repercusión de la historicidad para la predicción científica en las Ciencias Dise?o. In W. J. Gonzalez (Ed.), Las Ciencias de la Complejidad: Vertiente dinámica de las Ciencias de Dise?o y sobriedad de factores (pp. 73-106). A Coru?a: Netbiblo.
[11] Radnitzky, G. (1978). The Boundaries of Science and Technology. In The Search for Absolute Values in a Changing World. Proceedings of the 6th International Conference on the Unity of Sciences (Vol. 2, pp. 1007-1036). New York: International Cultural Foundation Press.
[12] Rescher, N. (1958). On Prediction and Explanation. British Journal for the Philosophy of Science, 8, 281-290.
http://dx.doi.org/10.1093/bjps/VIII.32.281
[13] Rescher, N., & Helmer, O. (1959). On the Epistemology of the Inexact Sciences. Management Science, 6, 25-52.
http://dx.doi.org/10.1287/mnsc.6.1.25
[14] Rescher, N. (1970). Scientific Explanation. New York: The Free Press.
[15] Rescher, N. (1984). The Limits of Science. Berkeley and Los Angeles: University of California Press.
[16] Rescher, N. (1987). Maximization, Optimization, and Rationality. On Reasons Why Rationality Is Not Necessarily a Matter of Maximization. In N. Rescher, Ethical Idealism. An Inquiry into the Nature and Function of Ideals (pp. 55-84). Berkeley and Los Angeles: University of California Press.
[17] Rescher, N. (1988). Rationality: A Philosophical Inquiry into the Nature and the Rationale of Reason. Oxford: Clarendon Press.
[18] Rescher, N. (1990). Our Science as O-U-R Science. In N. Rescher, A Useful Inheritance. Evolutionary Aspects of the Theory of Knowledge (pp. 77-104). Savage: Rowman and Littlefield.
[19] Rescher, N. (1992). A System of Pragmatic Idealism. Vol. I: Human Knowledge in Idealistic Perspective. Princeton, NJ: Princeton University Press.
[20] Rescher, N. (1993). A System of Pragmatic Idealism. Vol. II: The Validity of Values: Human Values in Pragmatic Perspective. Princeton, NJ: Princeton University Press.
[21] Rescher, N. (1994). A System of Pragmatic Idealism. Vol. III: Metaphilosophical Inquires. Princeton, NJ: Princeton University Press.
[22] Rescher, N. (1995). Satisfying Reason. Studies in the Theory of Knowledge. Dordrecht: Kluwer.
http://dx.doi.org/10.1007/978-94-011-0483-8
[23] Rescher, N. (1998). Predicting the Future: An Introduction to Theory of Forecasting. Albany, NY: Sate University of New York Press.
[24] Rescher, N. (1999a). Razón y valores en la Era científico-tecnológica. Barcelona: Paidós.
[25] Rescher, N. (1999b). The Limits of Science (revised ed.). Pittsburgh, PA: University of Pittsburgh Press.
[26] Rescher, N. (2003a). Epistemology: An Introduction to the Theory of Knowledge. Albany, NY: State University of New York Press.
[27] Rescher, N. (2003b). Deliberative Conservatism. In N. Rescher, Sensible Decisions. Issues of Rational Decision in Personal Choice and Public Policy (pp. 33-38). Lanham, MD: Rowman and Littlefield.
[28] Rescher, N. (2009a). Cognitive Compromise. On Managing Cognitive Risk in the Face of the Imperfect/Flawed. In N. Rescher, Epistemological Studies (pp. 57-63). Heusenstamm: Ontos Verlag.
[29] Rescher, N. (2009b). Unknowability: An Inquiry into the Limits of Knowledge. Lanham, MD: Lexington Books.
[30] Rescher, N. (2009c). Ignorance: On the Wider Implications of Deficient Knowledge. Pittsburgh, PA: University of Pittsburgh Press.
[31] Rescher, N. (2012). The Problem of Future Knowledge. Mind and Society, 11, 149-163.
http://dx.doi.org/10.1007/s11299-012-0099-8
[32] Simon, H. A. (1982a). Models of Bounded Rationality. Vol. 1: Economic Analysis and Public Policy. Cambridge, MA: The MIT Press.
[33] Simon, H. A. (1982b). Models of Bounded Rationality. Vol. 2: Behavioral Economics and Business Organization. Cambridge, MA: The MIT Press.
[34] Simon, H. A. (1996). The Sciences of the Artificial (3rd ed.). Cambridge, MA: The MIT Press.
[35] Simon, H. A. (1997). Models of Bounded Rationality. Vol. 3: Empirically Grounded Economic Reason. Cambridge, MA: The MIT Press.
[36] Simon, H. A. (2000). Bounded Rationality in Social Science: Today and Tomorrow. Mind and Society, 1, 25-39.
http://dx.doi.org/10.1007/BF02512227                     eww141104lx
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