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- In The Collected Works of John Dewey , 2000
"... Abstract This paper outlines an original interactivist-constructivist (I-C) approach to modeling intelligence and learning as a dynamical embodied form of adaptiveness and explores some applications of I-C to understanding the way cognitive learning is realised in the brain. Two key ideas for concep ..."
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Abstract This paper outlines an original interactivist-constructivist (I-C) approach to modeling intelligence and learning as a dynamical embodied form of adaptiveness and explores some applications of I-C to understanding the way cognitive learning is realised in the brain. Two key ideas for conceptualising intelligence within this framework are developed. These are: (i) intelligence is centrally concerned with the capacity for coherent, contextsensitive, self-directed management of interaction, (ii) 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 (e.g. genetically) learning is an important component of intelligence. A model of self-directed anticipative learning (SDAL) 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 modeling of the neuronal basis of intelligence and learning are explored; in particular, Quartz and Sejnowski’s recent neural constructivism (NC) 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 four-fold reflection on the divergence in cognitive modeling philosophy between the I-C and the traditional computational information processing (CIP) approaches. 1.
2003, Variations in Variation and Selection: The Ubiquity of the Variation-and-Selective-Retention Ratchet
- in Emergent Organizational Complexity Part II: Quantum Field Theory, Foundations of Science 8
"... ABSTRACT. The variation and selection form of explanation can be prescinded from the evolutionary biology home ground in which it was discovered and for which it has been most developed. When this is done, variation and selection explanations are found to have potential application to a wide range o ..."
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ABSTRACT. The variation and selection form of explanation can be prescinded from the evolutionary biology home ground in which it was discovered and for which it has been most developed. When this is done, variation and selection explanations are found to have potential application to a wide range of phenomena, far beyond the classical biological ground and the contemporary extensions into epistemological domains. It appears as the form of explanation most suited to phenomena of fit. It is also found to participate in multiple interesting relationships with other forms of explanation. We proceed with an examination of multiple kinds of phenomena, interrelationships with other members of the family of forms of explanation, and some novel applications even within the home ground of evolutionary biology. KEY WORDS: evolutionary biology, evolutionary epistemology, explanation, variation and selection Variation and selective retention is the paradigm form of explanation for adaptedness in evolutionary biology. This form of explanation has also been extended to several other domains, including scientific thought itself. The basic thesis of this paper is that there are many forms of explanation, each appropriate to particular kinds of explanation sought, and that variation and selection is a general form of explanation that is appropriate for explaining fit:thatall regularized forms of satisfaction between the dynamics of systems and some criterion of “fit ” for those dynamics are, in general, best explicable Don died May 6, 1996, from complications after surgery. He was a genius whose heart was even larger than his intellect; he was a friend and a mensch. This paper had undergone growth by the addition of references and arguments over the course of several years. The first author has completed it after Don could no longer contribute (and object!) with as little further change as was compatible with already anticipated but not yet completed additions.