David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Foundations of Science 14 (4):249-271 (2009)
Error is protean, ubiquitous and crucial in scientific process. In this paper it is argued that understanding scientific process requires what is currently absent: an adaptable, context-sensitive functional role for error in science that naturally harnesses error identification and avoidance to positive, success-driven, science. This paper develops a new account of scientific process of this sort, error and success driving Self-Directed Anticipative Learning (SDAL) cycling, using a recent re-analysis of ape-language research as test example. The example shows the limitations of other accounts of error, in particular Mayo’s (Error and the growth of experimental knowledge, 1996) error-statistical approach, and SDAL cycling shows how they can be fruitfully contextualised.
|Keywords||Error in science Scientific method Adaptive learning|
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References found in this work BETA
Mark H. Bickhard (1993). Representational Content in Humans and Machines. Journal of Experimental and Theoretical Artificial Intelligence 5:285-33.
W. D. Christensen & C. A. Hooker (2000). An Interactivist-Constructivist Approach to Intelligence: Self-Directed Anticipative Learning. Philosophical Psychology 13 (1):5 – 45.
Wayne D. Christensen & Clifford A. Hooker (1999). The Organization of Knowledge: Beyond Campbell's Evolutionary Epistemology. Philosophy of Science 66 (3):249.
Kevin Elliott (2004). Error as Means to Discovery. Philosophy of Science 71 (2):174-197.
Robert P. Farrell (2006). Rational Versus Anti-Rational Interpretations of Science: An Ape-Language Case-Study. Studies in History and Philosophy of Science Part C 37 (1):83-100.
Citations of this work BETA
Cliff Hooker (2011). Rationality as Effective Organisation of Interaction and Its Naturalist Framework. Axiomathes 21 (1):99-172.
Cliff Hooker (2013). Georg Simmel and Naturalist Interactivist Epistemology of Science. Studies in History and Philosophy of Science Part A 44 (3):311-317.
Cliff Hooker (2013). On the Import of Constraints in Complex Dynamical Systems. Foundations of Science 18 (4):757-780.
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