Error, error-statistics and self-directed anticipative learning

Title: Error, error-statistics and self-directed anticipative learning
Creator: Farrell, R. P.; Hooker, C. A.
Relation: Foundations of Science Vol. 14, Issue 4, p. 249-271
Publisher Link: http://dx.doi.org/10.1007/s10699-008-9155-6
Publisher: Springer Netherlands
Resource Type: journal article
Date: 2009
Description: 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.
Subject: error in science; scientific method; adaptive learning
Identifier: http://hdl.handle.net/1959.13/807230
Identifier: uon:7341
Identifier: ISSN:1233-1821
Language: eng
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