http://nova.newcastle.edu.au/vital/access/services/Feed ${session.getAttribute("locale")} 5 Applying self-directed anticipative learning to Science I: agency and the interactive exploration of possibility space in ape language research http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:3739 The purpose of this paper and its sister paper (Farrell and Hooker,b) is to present, evaluate and elaborate a proposed new model for the process of scientfic development: self-directed anticipative learning (SDAL). The vehicle for its evaluation is a new analysis of a well-known historical episode: the development of ape-language research. In this first paper we outline five prominent features of SDAL that will need to be realized in applying SDAL to science: 1) interactive exploration of possibility space; 2) self-directedness; 3)localization of success and error; 4) Synergistic increase in learning capacity; and 5) continuity of SDAL process across scientfic change. In this paper we examine the first three features of SDAL in relation to the early history of ape-language research. We show that this history is readily explicated as a self-directed, ever-finer, delineation of possibility space that enables the localization of both success and error. Paper II examines the last two features against this history. 2012-02-21T01:10:03.478Z ]]> Error, error-statistics and self-directed anticipative learning http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:7341 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. 2011-03-02T04:00:14.182Z ]]> Applying self-directed anticipative learning to Science II: learning how to learn across 'Revolutions' http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:3740 The purpose of this paper and its sister paper I (Farrell and Hooker, a) is to present, evaluate and elaborate a proposed new model for the process of scientific development: self-directed anticipative learning. The vehicle for its evaluation is a new analysis of a well-known historical episode: the development of ape language research. Paper I examined the basic features of SDAL in relation to the early history of ape-language research. In this second paper we examine the reconceptualization of ape-language research following what many conceived to be Terrace's refutation of ape-language. We show that the apparent 'revolution' in our understanding of ape linguistic capacities was not based upon 'revolutionary' research different in kind from 'normal' research. The same processes of self-directed interactive exploration of possibility space, that enables a homing-in upon both error and success, is present in all phases of productive science. Moreover, conceiving science as an SDAL process explains how scientists learn how to learn about their research domain. 2010-04-27T05:23:04.220Z ]]>