Modeling and Simulation of Complex Collective Systems

Modeling and Simulation of Complex Collective Systems
Author: Jarosław Wąs
Publisher: CRC Press
Total Pages: 133
Release: 2023-10-10
Genre: Computers
ISBN: 1000988635

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Providing a comprehensive overview of the modelling of complex systems, with particular emphasis on the collective aspects of these systems Particularly focuses on Wolfram's theses found in 'A New Kind of Science', exploring where it is best to use a cellular automaton and when it is best to use a traditional method such as one based on differential equations Discussions draw on a range of fascinating examples, including crowd dynamics, car traffic, downhill skiers and oil spreading across the sea surface

Modeling and Simulation of Complex Collective Systems

Modeling and Simulation of Complex Collective Systems
Author: Jarosław Wąs
Publisher: CRC Press
Total Pages: 164
Release: 2023-10-26
Genre: Computers
ISBN: 1000988643

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Providing a comprehensive overview of the modeling of complex systems, with particular emphasis on the collective aspects of these systems, this book situates itself at the forefront of available literature. Exemplifying practically Wolfram’s theses found in A New Kind of Science, discussions center on where it is best to use a cellular automaton, when it is reasonable to use a hybrid approach, and when it is best to use a traditional method such as one based on differential equations. A range of fascinating examples are discussed, ranging from models of crowd dynamics, car traffic, downhill skiers and oil spreading across the sea surface. All are discussed and illustrated with comments. These examples explore how simple rules can create incredibly complex patterns and are used to compare cellular automata with more traditional methods. This book is of critical importance to students and lecturers interested in complex system modeling as well as containing translatable techniques that have applications in a wide range of fields

Complex Systems and Society

Complex Systems and Society
Author: Nicola Bellomo
Publisher: Springer Science & Business Media
Total Pages: 102
Release: 2013-05-24
Genre: Mathematics
ISBN: 1461472423

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This work aims to foster the interdisciplinary dialogue between mathematicians and socio-economic scientists. Interaction among scholars and practitioners traditionally coming from different research areas is necessary more than ever in order to better understand many real-world problems we face today. On the one hand, mathematicians need economists and social scientists to better address the methodologies they design in a more realistic way; on the other hand, economists and social scientists need to be aware of sound mathematical modelling tools in order to understand and, ultimately, solve the complex problems they encounter in their research. With this goal in mind, this work is designed to take into account a multidisciplinary approach that will encourage the transfer of knowledge, ideas, and methodology from one discipline to the other. In particular, the work has three main themes: Demystifying and unravelling complex systems; Introducing models of individual behaviours in the social and economic sciences; Modelling socio-economic sciences as complex living systems. Specific tools examined in the work include a recently developed modelling approach using stochastic game theory within the framework of statistical mechanics and progressing up to modeling Darwinian evolution. Special attention is also devoted to social network theory as a fundamental instrument for the understanding of socio-economic systems.​

Modelling, Simulation and Applications of Complex Systems

Modelling, Simulation and Applications of Complex Systems
Author: Mohd Hafiz Mohd
Publisher: Springer
Total Pages: 441
Release: 2022-06-12
Genre: Mathematics
ISBN: 9789811626319

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This book discusses the latest progresses and developments on complex systems research and intends to give an exposure to prospective readers about the theoretical and practical aspects of mathematical modelling, numerical simulation and agent-based modelling frameworks. The main purpose of this book is to emphasize a unified approach to complex systems analysis, which goes beyond to examine complicated phenomena of numerous real-life systems; this is done by investigating a huge number of components that interact with each other at different (microscopic and macroscopic) scales; new insights and emergent collective behaviours can evolve from the interactions between individual components and also with their environments. These tools and concepts permit us to better understand the patterns of various real-life systems and help us to comprehend the mechanisms behind which distinct factors shaping some complex systems phenomena being influenced. This book is published in conjunction with the International Workshop on Complex Systems Modelling & Simulation 2019 (CoSMoS 2019): IoT & Big Data Integration. This international event was held at the Universiti Sains Malaysia Main Campus, Penang, Malaysia, from 8 to 11 April 2019. This book appeals to readers interested in complex systems research and other related areas such as mathematical modelling, numerical simulation and agent-based modelling frameworks.

Modeling Behavior in Complex Public Health Systems

Modeling Behavior in Complex Public Health Systems
Author: Christopher R. Keane
Publisher: Springer Publishing Company
Total Pages: 306
Release: 2013-09-27
Genre: Medical
ISBN: 0826110177

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Modelling, Simulation and Applications of Complex Systems

Modelling, Simulation and Applications of Complex Systems
Author: Mohd Hafiz Mohd
Publisher: Springer Nature
Total Pages: 440
Release: 2021-06-10
Genre: Mathematics
ISBN: 9811626294

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This book discusses the latest progresses and developments on complex systems research and intends to give an exposure to prospective readers about the theoretical and practical aspects of mathematical modelling, numerical simulation and agent-based modelling frameworks. The main purpose of this book is to emphasize a unified approach to complex systems analysis, which goes beyond to examine complicated phenomena of numerous real-life systems; this is done by investigating a huge number of components that interact with each other at different (microscopic and macroscopic) scales; new insights and emergent collective behaviours can evolve from the interactions between individual components and also with their environments. These tools and concepts permit us to better understand the patterns of various real-life systems and help us to comprehend the mechanisms behind which distinct factors shaping some complex systems phenomena being influenced. This book is published in conjunction with the International Workshop on Complex Systems Modelling & Simulation 2019 (CoSMoS 2019): IoT & Big Data Integration. This international event was held at the Universiti Sains Malaysia Main Campus, Penang, Malaysia, from 8 to 11 April 2019. This book appeals to readers interested in complex systems research and other related areas such as mathematical modelling, numerical simulation and agent-based modelling frameworks.

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

Kinetic Theory and Swarming Tools to Modeling Complex Systems—Symmetry problems in the Science of Living Systems
Author: Nicola Bellomo
Publisher: MDPI
Total Pages: 118
Release: 2020-05-29
Genre: Business & Economics
ISBN: 3039288792

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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.

Dynamics Of Complex Systems

Dynamics Of Complex Systems
Author: Yaneer Bar-yam
Publisher: CRC Press
Total Pages: 864
Release: 2019-03-04
Genre: Mathematics
ISBN: 0429697589

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This book aims to develop models and modeling techniques that are useful when applied to all complex systems. It adopts both analytic tools and computer simulation. The book is intended for students and researchers with a variety of backgrounds.

Multi-agent and Complex Systems

Multi-agent and Complex Systems
Author: Quan Bai
Publisher: Springer
Total Pages: 210
Release: 2016-11-15
Genre: Technology & Engineering
ISBN: 9811025649

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This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field. A complex system features a large number of interacting components, whose aggregate activities are nonlinear and self-organized. A multi-agent system is a group or society of agents which interact with others cooperatively and/or competitively in order to reach their individual or common goals. Multi-agent systems are suitable for modeling and simulation of complex systems, which is difficult to accomplish using traditional computational approaches.