Abstract
In this position article we argue the need for integrative approach to evolutionary modelling and point out some of the limitations of the traditional selection/mutation-based models. We argue a shift towards fine-grained detailed and integrated evolutionary modelling. Selection/mutation-based models are limited and do not provide a sufficient depth to provide reductionists insights into the emergence of (biological) evolutionary mechanisms. We propose that selection/mutation should be augmented with explicit hierarchical evolutionary models. We discuss limitations of the selection/mutation models, and we argue the need for detailed integrated modelling approach that goes beyond selection/mutation. We propose our own research framework based on computational meta-evolutionary approach, called Evolvable Virtual Machines (EVM) to address some of the challenges.
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Nowostawski, M. (2013). Meta-evolution Modelling: Beyond Selection/Mutation-Based Models. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, GS. (eds) Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34300-1_24
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DOI: https://doi.org/10.1007/978-3-642-34300-1_24
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