Special Issue "Dynamical Equations and Causal Structures from Observations"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (30 May 2015) | Viewed by 33193
Interests: classical and quantum information physics; complexity; entropy; inference; information geometry
Special Issues, Collections and Topics in MDPI journals
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Special Issue in Entropy: Information Geometric Characterization of Classical and Quantum Complex Systems
Special Issue in Entropy: On the Role of Geometric and Entropic Arguments in Physics: From Classical Thermodynamics to Quantum Mechanics
The relationship between theory, experiment, and computer simulations are very important in modern science due to the complexity of the various problems being investigated. In particular, describing and understanding natural phenomena is the goal of theoretical physics. In this Special Issue, we propose the discussion of the following two problems: first, deducing dynamical equations from data; second, detecting causal dependencies from data. In particular, the latter problem is commonly known as the causal inference problem. These two problems are usually addressed by several types of scientists: classical and quantum physicists, applied mathematicians, computer scientists, etc. The tools needed to tackle such problems are quite diverse as well: information theory, probability calculus, statistics, statistical inference, dynamical systems, foundational physics, etc. Most of all, entropy is a key ingredient that appears in all the above-mentioned tools.
It is our greatest pleasure to welcome your contributions to this Special Issue with the wish of advancing our conceptual, experimental, and computational understanding of such challenging problems. At the same time, we hope to highlight the role of entropy in both classical and quantum causality inference problems.
Dr. Carlo Cafaro
Manuscript Submission Information
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- classical and quantum physics
- information theory
- dynamical systems
- probability calculus