Modeling and Simulation of Complex Collective Systems PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Modeling and Simulation of Complex Collective Systems PDF full book. Access full book title Modeling and Simulation of Complex Collective Systems by Jarosław Wąs. Download full books in PDF and EPUB format.
Author: Jarosław Wąs
Publisher: CRC Press
ISBN: 1000988643
Category : Computers
Languages : en
Pages : 164
Get Book Here
Book Description
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
Author: Jarosław Wąs
Publisher: CRC Press
ISBN: 1000988643
Category : Computers
Languages : en
Pages : 164
Get Book Here
Book Description
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
Author: Mohd Hafiz Mohd
Publisher: Springer
ISBN: 9789811626319
Category : Mathematics
Languages : en
Pages : 441
Get Book Here
Book Description
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.
Author: Christopher R. Keane
Publisher: Springer Publishing Company
ISBN: 0826110177
Category : Medical
Languages : en
Pages : 306
Get Book Here
Book Description
Print+CourseSmart
Author: Nicola Bellomo
Publisher: Springer Science & Business Media
ISBN: 1461472423
Category : Mathematics
Languages : en
Pages : 102
Get Book Here
Book Description
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.
Author: Quan Bai
Publisher: Springer
ISBN: 9811025649
Category : Technology & Engineering
Languages : en
Pages : 210
Get Book Here
Book Description
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.
Author: Robert Siegfried
Publisher: Springer
ISBN: 3658075295
Category : Computers
Languages : en
Pages : 233
Get Book Here
Book Description
Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the “General Reference Model for Agent-based Modeling and Simulation” (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models –from small scale to very large scale. The author shows how agent-based models may be executed by different simulation engines that utilize underlying hardware resources in an optimized fashion.
Author: Thilo Gross
Publisher: Springer
ISBN: 9783642260148
Category : Science
Languages : en
Pages : 332
Get Book Here
Book Description
Adding one and one makes two, usually. But sometimes things add up to more than the sum of their parts. This observation, now frequently expressed in the maxim “more is different”, is one of the characteristic features of complex systems and, in particular, complex networks. Along with their ubiquity in real world systems, the ability of networks to exhibit emergent dynamics, once they reach a certain size, has rendered them highly attractive targets for research. The resulting network hype has made the word “network” one of the most in uential buzzwords seen in almost every corner of science, from physics and biology to economy and social sciences. The theme of “more is different” appears in a different way in the present v- ume, from the viewpoint of what we call “adaptive networks.” Adaptive networks uniquely combine dynamics on a network with dynamical adaptive changes of the underlying network topology, and thus they link classes of mechanisms that were previously studied in isolation. Here adding one and one certainly does not make two, but gives rise to a number of new phenomena, including highly robust se- organization of topology and dynamics and other remarkably rich dynamical beh- iors.
Author: Jan Treur
Publisher: Springer
ISBN: 3319452134
Category : Science
Languages : en
Pages : 501
Get Book Here
Book Description
This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions. Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models – including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks – illustrate the potential of the approach. Dedicated software is available to support building models in a conceptual or graphical manner, transforming them into an executable format and performing simulation experiments. The majority of the material presented has been used and positively evaluated by undergraduate and graduate students and researchers in the cognitive, social and AI domains. Given its detailed coverage, the book is ideally suited as an introduction for graduate and undergraduate students in many different multidisciplinary fields involving cognitive, affective, social, biological, and neuroscience domains.
Author: Nino Boccara
Publisher: Springer Science & Business Media
ISBN: 1441965629
Category : Computers
Languages : en
Pages : 490
Get Book Here
Book Description
This book illustrates how models of complex systems are built up and provides indispensable mathematical tools for studying their dynamics. This second edition includes more recent research results and many new and improved worked out examples and exercises.
Author: Yaneer Bar-yam
Publisher: CRC Press
ISBN: 0429717598
Category : Mathematics
Languages : en
Pages : 866
Get Book Here
Book Description
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.
