Abstract
The Dynamical Hypothesis [22] is gathering force within cognitive science and within biology. Evolutionary, developmental and learning processes can all be characterised by the DH and any models should try to account for this property. The processes differ in terms of their operational time-scale and the resources each has to hand. Evolution sets the parameters for the dynamical interactions in development and learning. Could all three processes possibly be regarded as a nested hierarchy sharing the same dynamical properties? We ask this question and argue that a DH understanding of the potential evolution of cognitive systems could inform subsequent modelling.
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Dickins, T.E., Levy, J.P. (2001). Evolution, Development and Learning — a Nested Hierarchy?. In: French, R.M., Sougné, J.P. (eds) Connectionist Models of Learning, Development and Evolution. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0281-6_26
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DOI: https://doi.org/10.1007/978-1-4471-0281-6_26
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