Cognition beyond the classical information processing model: Cognitive interactivity and the Systemic Thinking Model (SysTM)

Abstract

In this chapter , we propose a systemic model of thinking (SysTM) to account for higher cognitive operations such as how an agent makes inferences, solves problems and makes decisions. SysTM holds that information processing in thinking evolves through a succession of deductive and inductive processing loops. Both loops give rise to transformative actions on the physical information layout, resulting in new perceptual inputs which inform the next processing loop. Such actions result from the enaction of mental action plans in deductive loops and from unplanned direct perception of action possibilities or affordances in inductive loops. To account for direct perception, we introduce the concept of an affordance pool to refer to a short term memory storage of action possibilities in working memory. We conclude by illustrating how SysTM can be used to derive new predictions and guide the study of cognitive interactivity in thinking.

Publication
In S. J. Cowley and F. Vallée-Tourangeau (Eds.), Cognition Beyond the Brain (2nd Ed., pp. 133-154), New York: Springer
Gaëlle Vallée-Tourangeau
Gaëlle Vallée-Tourangeau
Professor of Behavioural Science

My research focuses on understanding how people handle risk and uncertainty. How they perceive and communicate risks, how they make decisions in the face of uncertainty.

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