Ricard Solé: Fundamental constraints to the logic of living systems

Поделиться
HTML-код
  • Опубликовано: 13 сен 2024
  • Fundamental constraints to the logic of living systems
    Prof. Ricard Solé, Universitat Pompeu Fabra and Santa Fe Institute
    Abstract:
    It has been argued that the historical nature of evolution makes it a highly path-dependent process. Under this view, the outcome of evolutionary dynamics could result in a very diverse landscape of complex agents, with very different kinds of forms and functions. At the same time, there is ample evidence that convergence and constraints strongly limit the domain of the potential design principles that evolution can achieve. Are these limitations relevant in shaping the fabric of the possible? Here, we argue that fundamental constraints are associated with the logic of living matter. We illustrate this idea by considering thermodynamic properties of living systems, the linear nature of molecular information, the cellular nature of the building blocks of life, its open-endedness, the threshold nature of computations in cognitive systems, language and the discrete nature of the architecture of ecosystems. In all these examples, we present available evidence and suggest potential avenues towards a well-defined theoretical formulation.
    Bio:
    Ricard Solé is ICREA research professor at the Catalan Institute for Research and Advanced Studies, currently working at the Universitat Pompeu Fabra, where he is the head of the Complex Systems Lab located at the PRBB. He teaches undergraduate courses on Biomathematics, Biological Design, and Complex Diseases.
    Ricard’s current research focuses on understanding the evolutionary origins of complex systems, using both mathematical models and experimental approaches based on synthetic biology. He has proposed the concept of “synthetic major transitions” as a unifying framework to explore the origins of innovation in evolution using a parallel approach, namely the potential for building or simulating synthetic systems that can recreate past evolutionary events.

Комментарии •