Learning, action and consciousness: A hybrid approach toward modelling consciousness
This paper is an attempt at understanding the issue of consciousness through investigating its functional role, especially in learning, and through devising hybrid neural network models that (in a qualitative manner) approximate characteristics of human consciousness. In doing so, the paper examines explicit and implicit learning in a variety of psychological experiments and delineates the conscious/unconscious distinction in terms of the two types of learning and their respective products. The distinctions are captured in a two-level action-based model CLARION. Some fundamental theoretical issues are also clarified with the help of the model. Comparisons with existing models of consciousness are made to accentuate the present approach. (C) 1997 Elsevier Science Ltd.
consciousness neural networks implicit learning hybrid systems reinforcement learning procedural knowledge rule extraction dual representation