Author: cxdig

Facilitating credit is the most important function of Money: A role for Bitcoin?

Klaus Jaffe

Money serves several roles: a medium of exchange to buy and sell without bartering; a unit of account to price goods consistently; a store of value to save purchasing power over time; a means to defer payment of future obligations like credit or loans. An agent based computer simulation program determine quantitatively the relative importance of these services. The main results showed that money for credit was by far the feature that achieved the largest overall production of wealth in the simulated societies. A conclusion from this study suggests that fomenting the use of internationally tradable currencies such as Bitcoin seems to be most promising pathway for international economic growth in the near future.

Read the full article at: papers.ssrn.com

FORESIGHTERS Doctoral Programme

Queen’s University Belfast is delighted to launch the recruitment process for 20 Early-Stage Researchers (ESRs) as part of its Foresighters Doctoral Training Programme. This offers an exceptional opportunity for future research leaders to access an innovative programme of doctoral training at one of the UK’s leading universities and engage in high impact, inter-disciplinary research with a wide range of non-academic partners.

FORESIGHTERS (Future ORiEnted Skills, Innovation for Governance for Health, Technology, EneRgy, citieS and creativity) offers unique opportunities to build a future research career that tackles complex societal problems. While researchers will be based in academic units across the university, from engineering, humanities, social science and the arts, they will be working within one of 5 interdisciplinary research themes (Health, Technology, Energy, Future Cities, and Creativity). The cohort of researchers will be bound by a common perspective and training in Futures Thinking and Futures Literacy and will develop the skills and capabilities to understand, imagine, and critically use different ideas about the future to better understand key challenges. In addition to advanced training offered by the Thomas Moran Graduate School, FORESIGHTERS ESRs will be trained in skills for anticipating change and using multiple possible futures to stimulate reflection, creativity, resilience and focus for contemporary action. The training programme also has a strong emphasis on the development of sustainable, diverse, and equitable research environments.

More at: www.qub.ac.uk

Thermodynamic efficiency of self-organisation in nonequilibrium steady states

Qianyang Chen, Mikhail Prokopenko

Active matter generates order or patterns through nonequilibrium dynamics. An open research challenge is to determine how efficiently a nonequilibrium self-organising system can convert consumed energy into macroscopic order. We study an information-theoretic quantity that directly addresses this challenge by estimating the entropy reduction induced by a small control-parameter perturbation, relative to the generalised work required for the perturbation. This quantity has previously been considered mainly in an equilibrium or near-equilibrium context, and here we extend this framework and apply it to two nonequilibrium self-organising systems: persistent and active Ising models. We observe that the thermodynamic efficiency of nonequilibrium systems maximises at phase transitions, as in equilibrium systems. Furthermore, we compare thermodynamic efficiency and inferential efficiency across control parameters. While these two quantities are equal in equilibrium as a consequence of the fluctuation-dissipation theorem, we report that they diverge out of equilibrium, and the gap reflects how far the system is from equilibrium.

Read the full article at: arxiv.org

Why AI Isn’t Going to Become Conscious | Anil Seth


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We see consciousness in AI the same way we see faces in clouds, says neuroscientist Anil Seth. He explores the all-too-human tendency to project inner life onto machines that are brilliant mimics, not sentient beings, and gives a definitive answer to the urgent question: Will AI ever gain consciousness?

Watch at: www.youtube.com

A Computational Economic Complexity Model for Regional Economic Integration: Analysis of the EU, MERCOSUR, URUPABOL, and the AndeanCommunity

C. Marchuk, L. Ríos, A. González, S. González, G. Pereira and C. von Lücken, “A Computational Economic Complexity Model for Regional Economic Integration: Analysis of the EU, MERCOSUR, URUPABOL, and the AndeanCommunity,” 2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), Valparaíso, Chile, 2025, pp. 1-8, doi: 10.1109/CHILECON66915.2025.11476476.

Regional Economic Integration is a process by which countries seek mutual benefits through the reduction of trade, social, and political barriers. This paper introduces a computational mathematical model grounded in Economic Complexity Theory to analyze economic blocs as unified entities. Four case studies are examined: the European Union, MERCOSUR, URUPABOL, and the Andean Community. Using real export data and complexity metrics, we identify the combined productive capacities of member countries. Results reveal that integration enhances product diversity and increases the ubiquity of exports within the bloc. The study demonstrates that regional integration boosts development and strengthens competitiveness in the global economy. The proposed methodological approach provides a novel tool for regional analysis and serves as a foundation for future strategies in economic cooperation and productive planning. This research contributes to understanding how collective capabilities can generate synergies that exceed individual national potentials, particularly in the context of Latin American regional development.

Read the full article at: ieeexplore.ieee.org