Month: March 2023

Universal bounds and thermodynamic tradeoffs in nonequilibrium energy harvesting

Jordi Piñero, Ricard Solé, Artemy Kolchinsky

Many molecular systems operate by harvesting and storing energy from their environments. However, the maintenance of a nonequilibrium state necessary to support energy harvesting itself carries thermodynamic costs. We consider the optimal tradeoff between costs and benefits of energy harvesting in a nonequilibrium steady state, for a system that may be in contact with a fluctuating environment. We find a universal bound on this tradeoff, which leads to closed-form expressions for optimal power output and optimal steady-state distributions for three physically meaningful regimes. Our results are illustrated using a model of a unicyclic network, which is inspired by the logic of biomolecular cycles.

Read the full article at: arxiv.org

Carlos Gershenson on Balance, Criticality, Antifragility, and The Philosophy of Complex Systems

In this episode we speak with Carlos Gershenson, SFI Sabbatical Visitor and professor of computer science at the Universidad Nacional Autónoma de México, where he leads the Self-organizing Systems Lab, among many other titles you can find in our show notes. For the next hour, we’ll discuss his decades of research and writing on a vast array of core complex systems concepts and their intersections with both Western and Eastern philosophical traditions — a first for this podcast.

Listen at: complexity.simplecast.com

Mirta Galesic on Global Collective Behavior

Jim talks with Mirta Galesic about the ideas in her co-authored paper “Stewardship of Global Collective Behavior.” They discuss the meaning of collective behavior, a crisis in network structures, the analogy of the printing press, consequences of person-to-person communication, the capacity for collective forgetting, unpredictable developments in chatbots, bottom-up vs top-down influence, advertising-driven information ecosystems, emergent knobs in social media design, ChatGPT’s political bias, the widespread trust in algorithms, suggestions for reforming Twitter, information decay, viscosity, opportunities & dangers of mass surveillance data, the Twitter Files, free speech & cultural evolution, and much more.

Listen at: jimruttshow.blubrry.net

A Law for Irreversible Thermodynamics? Synergy Increases Free Energy by Decreasing Entropy

Klaus Jaffe

Classical laws of thermodynamics apply only for reversible processes. Most processes however are irreversible and occur in open systems. That is the case of synergy that emerges from synchronized reciprocal positive feedback loops between a network of diverse actors. For this process to proceed, compatible information from different sources synchronically coordinates the actions of the actors resulting in a nonlinear increase in the useful work or potential energy the system can manage. In contrast noise is produced when incompatible information is mixed. This synergy produced from the coordination of different agents achieves non-linear gains in free energy and in information (negentropy). Free energy can be estimated by proxies such as individual autonomy of an organism, emancipation from the environment, productivity, efficiency, capacity for flexibility, self-regulation, and self-control of behavior; whereas entropy, or the lack of it, is revealed by the degree of synchronized division of ever more specialized labor, structural complexity, information, and dissipation of energy. Empirical examples that provide quantitative data for these phenomena are presented. Results show that increases in free energy density are concomitant with decreases in entropy density. This may be a rule for synergistic processes in irreversible thermodynamics, which is consilient with the first and second laws of classical thermodynamics. Under this light, biological evolution is the task of self reproducing irreversible synergistic system to discover empirically (through natural and sexual selection) types of order that increase their free energy.

Read the full article at: www.qeios.com

Economic Fitness and Complexity Spring School. June 5-9, 2023, Rome.

The Enrico Fermi Research Centre – CREF (Rome) and UNU-MERIT (Maastricht), in collaboration with the Young Scholar Initiative of the Institute of New Economic Thinking are now calling for submissions to the first Economic Fitness and Complexity spring school, which will be held on June 5-9, 2023 in Rome, Italy. The school is an extensive introduction to the economic complexity framework, with theoretical and practical lessons. The first three days will focus on theoretical and practical classes covering the following topics: economic complexity measurement, network theory, machine learning, measurement of relatedness. Theoretical lectures will be followed by coding labs, where participants will have the chance to apply the methodologies introduced in class, and to carry out assigned group projects, focusing on the school core themes. For the last two days of the school, many world-wide renowned scholars have been invited to present their frontier research linking economic complexity with economic development, economic geography, labour economics, sustainability, economics of science, and innovation policy. Visit the website to submit an application: https://efc-school.cref.it/apply