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Epistemological approach to the process of practice


Dazeley, RP and Kang, BH, Epistemological approach to the process of practice, Minds & Machines, 18, (4) pp. 547-567. ISSN 0924-6495 (2008) [Refereed Article]

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Copyright 2008 Springer Science + Business Media

DOI: doi:10.1007/s11023-008-9117-3


Systems based on symbolic knowledge have performed extremely well in processing reason, yet, remain beset with problems of brittleness in many domains. Connectionist approaches do similarly well in emulating interactive domains, however, have struggled when modelling higher brain functions. Neither of these dichotomous approaches, however, have provided many inroads into the area of human reasoning that psychology and sociology refer to as the process of practice. This paper argues that the absence of a model for the process of practise in current approaches is a significant contributor to brittleness. This paper will investigate how the process of practise relates to deeper forms of contextual representations of knowledge. While researchers and developers of knowledge based systems have often incorporated the notion of context they treat context as a static entity, neglecting many connectionists' work in learning hidden and dynamic contexts. This paper argues that the omission of these higher forms of context is one of the fundamental problems in the application and interpretation of symbolic knowledge. Finally, these ideas for modelling context will lead to the reinterpretation of situation cognition which makes a significant step towards a philosophy of knowledge that could lead to the modelling of the process of practice.

Item Details

Item Type:Refereed Article
Keywords:dynamic context, epistemology, knowledge representation, philosophy of knowledge, process of practice, situation cognition
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Knowledge representation and reasoning
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:54060
Year Published:2008
Web of Science® Times Cited:3
Deposited By:Information and Communication Technology
Deposited On:2009-02-09
Last Modified:2015-02-13

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