Dynamical Sytems and a Process Perspective on Life
Nick MONK (University of Sheffield & KLI)
Apr 27, 2017 | 16:30KLI
Organized by: KLI
Living systems are fundamentally dynamic, but prevailing mechanistic approaches to understanding life typically focus on their analysis into collections of essentially “static” entities. While basic molecular entities — genes, RNAs, proteins, etc. — clearly provide a vital part of the substrate for life, we also need to understand the origin, nature and inheritance of phenotype, considered as a dynamic pattern of organisation. An individual’s genotype provides only part of the information required to understand its phenotype; environmental (including maternal) conditions also contribute, as illustrated by phenotypic plasticity and polyphenism. The formalism of dynamical systems provides organisational structures that provide a way of addressing these issues. In the context of living systems, an individual’s genotype can be thought of as specifying part of a dynamical system, with additional information coming from the context in which the genotype is expressed. In this view, the genotype “codes” explicitly only for sets of potentialities. I will explore the ways in which dynamical systems provide a perspective on living systems that is more naturally processual than mechanistic, providing the means for understanding how organisation and structure can interact.
After reading Natural Sciences and Mathematics as an undergraduate, Nick Monk studied for a PhD at Birkbeck College, London with Basil Hiley. At Birkbeck, he contributed to the development of a fully algebraic formalism for quantum mechanics that provides a mathematical realisation of a process-based ontology. Since obtaining his PhD, his research has focused on mathematical modelling of biological phenomena, predominantly in the context of cell and developmental biology. A central concern in this work has been the importance of dynamics in living systems, and a current focus is on the ways in which the structures of dynamical systems can be used to provide a more process-based approach to biology. He has held positions in Oxford, Nottingham and several Departments in Sheffield, and is currently a professor in the School of Mathematics and Statistics at the University of Sheffield, and a Visiting Fellow at the KLI.