Outlines the etiological theory of normative functionality. Analysis of the autonomous system; Function of systems-oriented approaches; Specifications of system identity.

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. (shrink)

Wayne D. Christensen and Cliff A. Hooker.

Also published in Representation in mind : new approaches to mental representation / Hugh Clapin, Phillil Staines, Peter Slezak (eds.) : ISBN 008044394X.

Donald Campbell has long advocated a naturalist epistemology based on a general selection theory, with the scope of knowledge restricted to vicarious adaptive processes. But being a vicariant is problematic because it involves an unexplained epistemic relation. We argue that this relation is to be explicated organizationally in terms of the regulation of behavior and internal state by the vicariant, but that Campbell's selectionist approach can give no satisfactory account of it because it is opaque to organization. We show how (...) organizational constraints and capacities are crucial to understanding both evolution and cognition and conclude with a proposal for an enriched, generalized model of evolutionary epistemology that places high-order regulatory organization at the center. (shrink)

In this paper, I discuss connections between self-directedness, integration and higher cognition. I present a model of self-directedness as a basis for approaching higher cognition from a situated cognition perspective. According to this model increases in sensorimotor complexity create pressure for integrative higher order control and learning processes for acquiring information about the context in which action occurs. This generates complex articulated abstractive information processing, which forms the major basis for higher cognition. I present evidence that indicates that the same (...) integrative characteristics found in lower cognitive process such as motor adaptation are present in a range of higher cognitive process, including conceptual learning. This account helps explain situated cognition phenomena in humans because the integrative processes by which the brain adapts to control interaction are relatively agnostic concerning the source of the structure participating in the process. Thus, from the perspective of the motor control system using a tool is not fundamentally different to simply controlling an arm. (shrink)

Tim van Gelder, following Brandom, Collins and others, uses the so‐called wide content of capacities which support social, norm governed activities, such as language, to argue for their anti‐natural, abstract, but socially instituted nature and thence for the failure of the entire traditional mind‐body discussion as ill‐posed. We argue that his former conclusion is wrong, that such properties are naturalisable, complicated organisational properties of the complexly organised, non‐linearly interactive systems that human beings are. This analysis also provides principled support, but (...) on other grounds, for van Gelder’s latter conclusion. We outline a new naturalist approach to the organisational capacities of such systems that is intended to ground their biological, cognitive and social characters. (shrink)

The general structure of Steels & Belpaeme's (S&B's) central premise is appealing. Theoretical stances that focus on one type of mechanism miss the fact that multiple mechanisms acting in concert can provide convergent constraints for a more robust capacity than any individual mechanism might achieve acting in isolation. However, highlighting the significance of complex constraint interactions raises the possibility that some of the relevant constraints may have been left out of S&B's own models. Although abstract modeling can help clarify issues, (...) it also runs the risk of oversimplification and misframing. A more subtle implication of the significance of interacting constraints is that it calls for a close relationship between theoretical and empirical research. (shrink)

© 2006 Konrad Lorenz Institute for Evolution and Cognition Research.

Cognitive neuroscience has come to be viewed as the flagship of the cognitive sciences and is transforming our understanding of the nature of mind. In this paper we survey several research fields in cognitive neuroscience (lateralization, neuroeconomics, and cognitive control) and note that they are making rapid progress on fundamental issues. Lateralization research is developing a comparative framework for evolutionary analysis, and is identifying individual- and population-level factors that favor brain asymmetries. Neuroeconomics is creating a research framework for studying valuation (...) mechanisms in the brain that allows investigation of more complex phenomena than traditional reward paradigms. And cognitive control research has cast light on the mechanisms of task learning and top-down control that enable fluid goal-directed behavior in complex situations. Reasons for the success of cognitive neuroscience are varied: technical advances (e.g., in molecular genetics and imaging) are part of the story, but the more important factors have to do with the power of integrating a bottom-up mechanistic approach with larger functional and evolutionary perspectives. The incorporation of a bottom-up component differentiates cognitive neuroscience from the multidisciplinary ambitions of classical cognitive science, which suffered from having limited access to mechanisms. (shrink)