Special Issue "Entropy in Model Reduction"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (28 February 2010) | Viewed by 55697
Interests: neural networks; chemical and biological kinetics; human adaptation to hard living conditions; methods and technologies of collective thinking
Special Issues, Collections and Topics in MDPI journals
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Special Issue in Entropy: Uncertainty in Large Neural Systems: Validation, Explanation and Correction of Multidimensional Intelligence in a Multidimensional World II
In the practice of modeling of complex systems tools are necessary for the construction of models which have appropriate complexity, accuracy and do not violate the basic laws. Methods based on entropy allow us to reduce the model’s complexity. At the same time, entropy based methods give the possibility to produce models which follow some basic principles: do not produce information from nothing, satisfy the second law of thermodynamics and have other attractive properties. The area of applications of these methods is enormously wide: from physics and chemistry to biology, psychology, sociology and economics.
In this volume we invite papers which propose, review and analyse entropic methods for model reduction and for analysis of reduced models. Works with various applications of entropic methods for model reduction are also welcome.
Prof. Dr. Alexander Gorban
- model reduction
- complexity reduction
- dissipativity preservation
- physical kinetics
- chemical kinetics
- systems biology