학술논문

Implicit and explicit learning in ACT-R
Document Type
Conference Paper
Source
Lebiere, Christian and Wallach, Dieter and Taatgen, Niels (1998) Implicit and explicit learning in ACT-R. [Conference Paper]
Subject
Psychology: Applied Cognitive Psychology
Psychology: Cognitive Psychology
Computer Science: Artificial Intelligence
Computer Science: Machine Learning
Psychology: Developmental Psychology
Applied Cognitive Psychology
Cognitive Psychology
Artificial Intelligence
Machine Learning
Developmental Psychology
Language
Abstract
A useful way to explain the notions of implicit and explicit learning in ACT-R is to define implicit learning as learning by ACT-R's learning mechanisms, and explicit learning as the results of learning goals. This idea complies with the usual notion of implicit learning as unconscious and always active and explicit learning as intentional and conscious. Two models will be discussed to illustrate this point. First a model of a classical implicit memory task, the SUGARFACTORY scenario by Berry & Broadbent (1984) will be discussed, to show how ACT-R can model implicit learning. The second model is of the so-called Fincham task (Anderson & Fincham, 1994), and exhibits both implicit and explicit learning.