Kinetic Theory and Swarming Tools to Modeling Complex Systems—Symmetry problems in the Science of Living Systems

This MPDI book comprises a number of selected contributions to a Special Issue devoted to the modeling and simulation of living systems based on developments in kinetic mathematical tools. The focus is on a fascinating research field which cannot be tackled by the approach of the so-called hard scie...

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Egile nagusia: Bellomo, Nicola
Formatua: Online
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Argitaratua: MDPI - Multidisciplinary Digital Publishing Institute 2021
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Sarrera elektronikoa:46151
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author Bellomo, Nicola
author_browse Bellomo, Nicola
author_facet Bellomo, Nicola
author_sort Bellomo, Nicola
collection Directory of Open Access Books
description This MPDI book comprises a number of selected contributions to a Special Issue devoted to the modeling and simulation of living systems based on developments in kinetic mathematical tools. The focus is on a fascinating research field which cannot be tackled by the approach of the so-called hard sciences—specifically mathematics—without the invention of new methods in view of a new mathematical theory. The contents proposed by eight contributions witness the growing interest of scientists this field. The first contribution is an editorial paper which presents the motivations for studying the mathematics and physics of living systems within the framework an interdisciplinary approach, where mathematics and physics interact with specific fields of the class of systems object of modeling and simulations. The different contributions refer to economy, collective learning, cell motion, vehicular traffic, crowd dynamics, and social swarms. The key problem towards modeling consists in capturing the complexity features of living systems. All articles refer to large systems of interaction living entities and follow, towards modeling, a common rationale which consists firstly in representing the system by a probability distribution over the microscopic state of the said entities, secondly, in deriving a general mathematical structure deemed to provide the conceptual basis for the derivation of models and, finally, in implementing the said structure by models of interactions at the microscopic scale. Therefore, the modeling approach transfers the dynamics at the low scale to collective behaviors. Interactions are modeled by theoretical tools of stochastic game theory. Overall, the interested reader will find, in the contents, a forward look comprising various research perspectives and issues, followed by hints on to tackle these.
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language eng
publishDate 2021
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publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-510972022-01-31T11:42:45Z Kinetic Theory and Swarming Tools to Modeling Complex Systems—Symmetry problems in the Science of Living Systems Bellomo, Nicola TX1-1110 T1-995 short- and long-range interactions living systems stress conditions learning symmetric interactions active particles conformist society kinetic equations kinetic models complex systems safety haptotaxis opinion dynamics multiscale modeling individualistic society CVaR kinetic theory social dynamics boundary conditions pattern formation crowd dynamics integro-differential equations scaling Efficient frontier cell movement vehicular traffic Crowd dynamics learning dynamics This MPDI book comprises a number of selected contributions to a Special Issue devoted to the modeling and simulation of living systems based on developments in kinetic mathematical tools. The focus is on a fascinating research field which cannot be tackled by the approach of the so-called hard sciences—specifically mathematics—without the invention of new methods in view of a new mathematical theory. The contents proposed by eight contributions witness the growing interest of scientists this field. The first contribution is an editorial paper which presents the motivations for studying the mathematics and physics of living systems within the framework an interdisciplinary approach, where mathematics and physics interact with specific fields of the class of systems object of modeling and simulations. The different contributions refer to economy, collective learning, cell motion, vehicular traffic, crowd dynamics, and social swarms. The key problem towards modeling consists in capturing the complexity features of living systems. All articles refer to large systems of interaction living entities and follow, towards modeling, a common rationale which consists firstly in representing the system by a probability distribution over the microscopic state of the said entities, secondly, in deriving a general mathematical structure deemed to provide the conceptual basis for the derivation of models and, finally, in implementing the said structure by models of interactions at the microscopic scale. Therefore, the modeling approach transfers the dynamics at the low scale to collective behaviors. Interactions are modeled by theoretical tools of stochastic game theory. Overall, the interested reader will find, in the contents, a forward look comprising various research perspectives and issues, followed by hints on to tackle these. 2021-02-11T17:07:53Z 2021-02-11T17:07:53Z 2020-06-09 16:38:57 2020 book 46151 9783039288793 9783039288809 https://directory.doabooks.org/handle/20.500.12854/51097 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/2345 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03928-880-9 10.3390/books978-3-03928-880-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039288793 9783039288809 118 open access
spellingShingle TX1-1110
T1-995
short- and long-range interactions
living systems
stress conditions
learning
symmetric interactions
active particles
conformist society
kinetic equations
kinetic models
complex systems
safety
haptotaxis
opinion dynamics
multiscale modeling
individualistic society
CVaR
kinetic theory
social dynamics
boundary conditions
pattern formation
crowd dynamics
integro-differential equations
scaling
Efficient frontier
cell movement
vehicular traffic
Crowd dynamics
learning dynamics
Bellomo, Nicola
Kinetic Theory and Swarming Tools to Modeling Complex Systems—Symmetry problems in the Science of Living Systems
title Kinetic Theory and Swarming Tools to Modeling Complex Systems—Symmetry problems in the Science of Living Systems
title_full Kinetic Theory and Swarming Tools to Modeling Complex Systems—Symmetry problems in the Science of Living Systems
title_fullStr Kinetic Theory and Swarming Tools to Modeling Complex Systems—Symmetry problems in the Science of Living Systems
title_full_unstemmed Kinetic Theory and Swarming Tools to Modeling Complex Systems—Symmetry problems in the Science of Living Systems
title_short Kinetic Theory and Swarming Tools to Modeling Complex Systems—Symmetry problems in the Science of Living Systems
title_sort kinetic theory and swarming tools to modeling complex systems symmetry problems in the science of living systems
topic TX1-1110
T1-995
short- and long-range interactions
living systems
stress conditions
learning
symmetric interactions
active particles
conformist society
kinetic equations
kinetic models
complex systems
safety
haptotaxis
opinion dynamics
multiscale modeling
individualistic society
CVaR
kinetic theory
social dynamics
boundary conditions
pattern formation
crowd dynamics
integro-differential equations
scaling
Efficient frontier
cell movement
vehicular traffic
Crowd dynamics
learning dynamics
topic_facet TX1-1110
T1-995
short- and long-range interactions
living systems
stress conditions
learning
symmetric interactions
active particles
conformist society
kinetic equations
kinetic models
complex systems
safety
haptotaxis
opinion dynamics
multiscale modeling
individualistic society
CVaR
kinetic theory
social dynamics
boundary conditions
pattern formation
crowd dynamics
integro-differential equations
scaling
Efficient frontier
cell movement
vehicular traffic
Crowd dynamics
learning dynamics
url 46151
work_keys_str_mv AT bellomonicola kinetictheoryandswarmingtoolstomodelingcomplexsystemssymmetryproblemsinthescienceoflivingsystems