Mikhail Prokopenko is the director of the Center for Complex Systems and member of the leadership team at the University of Sysdney Infectious Deiseases Institute (Sydney ID).
Abstract:
We hypothesise the existence of a biological arrow of time underlying major evolutionary transitions and formalise this conjecture through the lens of computation theory. According to this interpretation, biological organisms are hierarchical dynamical systems that generate regularities in their phase-spaces through interactions with their environment. These emergent patterns can be encoded within the organism (e.g., via the genotype-phenotype mapping), leading to fundamental tensions between what is encodable at a particular evolutionary stage and what is potentially realisable in the environment. We argue that open-ended evolution comprises a continual process in which a resolution of these tensions drives an evolutionary transition, expanding the problem-space and then generating new tensions in the expanded space. Computation-theoretically, the problem-space expands when computational novelty (e.g., a new “code of life”) is generated by self-modelling agents which gain access to meta-simulation, e.g., by Turing oracles or recursively generated logics, or receive the feedback from external environment, e.g., via natural selection.
