The evolutionary approach to entropy: Reconciling Georgescu-Roegen's natural philosophy with the maximum entropy framework [PDF]
In Georgescu-Roegen's classical, though controversial discussion of entropy in relation to economics, the dualism of mechanical and subjective time plays a pivotal role.
Herrmann-Pillath, Carsten
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Capacity-Based Entropy: A Topological Generalization of Information Theory
This is a comprehensive updated version of the Capacity-Based Entropy (CBE) framework, unifying two complementary perspectives developed at different times: 1) The original cognitive-observer perspective (previously published at [https://doi.org/10.13140/RG.2.2.35131.68649]), which introduced the concept of resolution-dependent entropy based on ...
openaire +2 more sources
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
On right K-completeness of the fine quasi-uniformity
[EN] We investigate right K-components of the fine quasi-uniformity. It follows from our results the somewhat surprising fact that if (X,T) is a topological space condensable onto a quasi-metric space whose conjugate is Hausdorff, then any right K-Cauchy
Romaguera Bonilla, Salvador +1 more
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Nonreciprocal Swarmalators With Reconfigurable and Controllable Formations for Robot Collectives
Nonreciprocal swarmalator interactions are enabled through control barrier functions to transform self‐organizing robot collectives into reconfigurable, constraint‐aware systems. Complex two‐ and three‐dimensional shapes, continuous morphing, obstacle‐aware navigation, collective splitting, and object transport emerge from modulating agent‐level ...
Kush Patel +3 more
wiley +1 more source
A minimum cross entropy model to generate disaggregated agricultural data at the local level [PDF]
This work presents an entropy approach to disaggregate agricultural data at a local level. It comprises two different steps. In a first one, an information prior at disaggregated level based on experts’ opinions, available cartography of land use and ...
Fragoso, Rui Manuel de Sousa +2 more
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Consensus Formation and Change are Enhanced by Neutrality
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
The error-bounded descriptional complexity of approximation networks [PDF]
It is well known that artificial neural nets can be used as approximators of any continuous functions to any desired degree and therefore be used e.g. in high - speed, real-time process control.
Brause, Rüdiger W.
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Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Rethinking evolution, entropy and economics: A triadic conceptual framework for the maximum entropy principle as applied to the growth of knowledge [PDF]
Recently, the maximum entropy principle has been applied to explain the evolution of complex non-equilibrium systems, such as the Earth system. I argue that it can also be fruitfully deployed to reconsider the classical treatment of entropy in economics ...
Herrmann-Pillath, Carsten
core

