Philosophical Psychology 13 (1):5 – 45 (2000)

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Abstract
This paper outlines an original interactivist-constructivist approach to modelling intelligence and learning as a dynamical embodied form of adaptiveness and explores some applications of I-C to understanding the way cognitive learning is realized in the brain. Two key ideas for conceptualizing intelligence within this framework are developed. These are: intelligence is centrally concerned with the capacity for coherent, context-sensitive, self-directed management of interaction; and the primary model for cognitive learning is anticipative skill construction. Self-directedness is a capacity for integrative process modulation which allows a system to "steer" itself through its world by anticipatively matching its own viability requirements to interaction with its environment. Because the adaptive interaction processes required of intelligent systems are too complex for effective action to be prespecified learning is an important component of intelligence. A model of self-directed anticipative learning is formulated based on interactive skill construction, and argued to constitute a central constructivist process involved in cognitive development. SDAL illuminates the capacity of intelligent learners to start with the vague, poorly defined problems typically posed in realistic learning situations and progressively refine them, transforming them into problems with sufficient structure to guide the construction of a solution. Finally, some of the implications of I-C for modelling of the neuronal basis of intelligence and learning are explored; in particular, Quartz and Sejnowski's recent neural constructivism paradigm, enriched by Montague and Sejnowski's dopaminergic model of anticipative-predictive neural learning, is assessed as a promising, but incomplete, contribution to this approach. The paper concludes with a fourfold reflection on the divergence in cognitive modelling philosophy between the I-C and the traditional computational information processing approaches
Keywords Mind
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DOI 10.1080/09515080050002717
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References found in this work BETA

Functional Analysis.Robert Cummins - 1975 - Journal of Philosophy 72 (November):741-64.
Intelligence Without Representation.Rodney A. Brooks - 1991 - Artificial Intelligence 47 (1--3):139-159.
Thought and Language.A. L. Wilkes, L. S. Vygotsky, E. Hanfmann & G. Vakar - 1964 - Philosophical Quarterly 14 (55):178.

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Citations of this work BETA

Grounding Cognition: Heterarchical Control Mechanisms in Biology.William Bechtel & Leonardo Bich - 2021 - Philosophical Transactions of the Royal Society B: Biological Sciences 376 (1820).
The Sense of Agency and its Role in Strategic Control for Expert Mountain Bikers.Wayne Christensen, Kath Bicknell, Doris McIlwain & John Sutton - 2015 - Psychology of Consciousness: Theory, Research, and Practice 2 (3):340-353.
The Metaphysics of Emergence.Richard Campbell - 2015 - Basingstoke, England: Palgrave-Macmillan.
On the Import of Constraints in Complex Dynamical Systems.Cliff Hooker - 2013 - Foundations of Science 18 (4):757-780.

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