Computational Ecology Graphs Networks And Agent Based Modeling
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Computational Ecology Graphs Networks And Agent Based Modeling
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Author : Wenjun Zhang
language : en
Publisher: World Scientific
Release Date : 2012-05-04
Computational Ecology Graphs Networks And Agent Based Modeling written by Wenjun Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-04 with Science categories.
Graphs, networks and agent-based modeling are the most thriving and attracting sciences used in ecology and environmental sciences. As such, this book is the first comprehensive treatment of the subject in the areas of ecology and environmental sciences.From this integrated and self-contained book, researchers, university teachers and students will be provided with an in-depth and complete insight on knowledge, methodology and recent advances of graphs, networks and agent-based-modeling in ecology and environmental sciences.Java codes and a standalone software package will be presented in the book for easy use for those not familiar with mathematical details.
Computational Ecology
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Author : Wenjun Zhang
language : en
Publisher: World Scientific
Release Date : 2012
Computational Ecology written by Wenjun Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
Graphs, networks and agent-based modeling are the most thriving and attracting sciences used in ecology and environmental sciences. As such, this book is the first comprehensive treatment of the subject in the areas of ecology and environmental sciences. From this integrated and self-contained book, researchers, university teachers and students will be provided with an in-depth and complete insight on knowledge, methodology and recent advances of graphs, networks and agent-based-modeling in ecology and environmental sciences. Java codes and a standalone software package will be presented in the book for easy use for those not familiar with mathematical details.
Selforganizology
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Author : Wenjun ZHANG
language : en
Publisher: World Scientific
Release Date : 2015-11-27
Selforganizology written by Wenjun ZHANG and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-27 with Business & Economics categories.
"This invaluable book is the first of its kind on "selforganizology", the science of self-organization. It covers a wide range of topics, such as the theory, principle and methodology of selforganizology, agent-based modelling, intelligence basis, ant colony optimization, fish/particle swarm optimization, cellular automata, spatial diffusion models, evolutionary algorithms, self-adaptation and control systems, self-organizing neural networks, catastrophe theory and methods, and self-organization of biological communities, etc. Readers will have an in-depth and comprehensive understanding of selforganizology, with detailed background information provided for those who wish to delve deeper into the subject and explore research literature. This book is a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences."--
Fundamentals Of Network Biology
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Author : Wenjun Zhang
language : en
Publisher: World Scientific
Release Date : 2018-05-18
Fundamentals Of Network Biology written by Wenjun Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-18 with Medical categories.
As the first comprehensive title on network biology, this book covers a wide range of subjects including scientific fundamentals (graphs, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and cellular networks, network pharmacology and network toxicology, big data analytics, and more.Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms, this self-contained title provides an in-depth and complete insight on network biology. It is a valuable read for high-level undergraduates and postgraduates in the areas of biology, ecology, environmental sciences, medical science, computational science, applied mathematics, and social science.
Agent Based Modeling And Network Dynamics
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Author : Akira Namatame
language : en
Publisher: Oxford University Press
Release Date : 2016-01-28
Agent Based Modeling And Network Dynamics written by Akira Namatame and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-28 with Science categories.
While the significance of networks in various human behavior and activities has a history as long as human's existence, network awareness is a recent scientific phenomenon. The neologism network science is just one or two decades old. Nevertheless, with this limited time, network thinking has substantially reshaped the recent development in economics, and almost all solutions to real-world problems involve the network element. This book integrates agent-based modeling and network science. It is divided into three parts, namely, foundations, primary dynamics on and of social networks, and applications. The authors begin with the network origin of agent-based models, known as cellular automata, and introduce a number of classic models, such as Schelling's segregation model and Axelrod's spatial game. The essence of the foundation part is the network-based agent-based models in which agents follow network-based decision rules. Under the influence of the substantial progress in network science in late 1990s, these models have been extended from using lattices into using small-world networks, scale-free networks, etc. The text also shows that the modern network science mainly driven by game-theorists and sociophysicists has inspired agent-based social scientists to develop alternative formation algorithms, known as agent-based social networks. It reviews a number of pioneering and representative models in this family. Upon the given foundation, the second part reviews three primary forms of network dynamics, such as diffusions, cascades, and influences. These primary dynamics are further extended and enriched by practical networks in goods-and-service markets, labor markets, and international trade. At the end, the book considers two challenging issues using agent-based models of networks: network risks and economic growth.
A Librarian S Guide To Graphs Data And The Semantic Web
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Author : James Powell
language : en
Publisher: Elsevier
Release Date : 2015-07-09
A Librarian S Guide To Graphs Data And The Semantic Web written by James Powell and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-09 with Language Arts & Disciplines categories.
Graphs are about connections, and are an important part of our connected and data-driven world. A Librarian's Guide to Graphs, Data and the Semantic Web is geared toward library and information science professionals, including librarians, software developers and information systems architects who want to understand the fundamentals of graph theory, how it is used to represent and explore data, and how it relates to the semantic web. This title provides a firm grounding in the field at a level suitable for a broad audience, with an emphasis on open source solutions and what problems these tools solve at a conceptual level, with minimal emphasis on algorithms or mathematics. The text will also be of special interest to data science librarians and data professionals, since it introduces many graph theory concepts by exploring data-driven networks from various scientific disciplines. The first two chapters consider graphs in theory and the science of networks, before the following chapters cover networks in various disciplines. Remaining chapters move on to library networks, graph tools, graph analysis libraries, information problems and network solutions, and semantic graphs and the semantic web. - Provides an accessible introduction to network science that is suitable for a broad audience - Devotes several chapters to a survey of how graph theory has been used in a number of scientific data-driven disciplines - Explores how graph theory could aid library and information scientists
Complexity In World Politics
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Author : Neil E. Harrison
language : en
Publisher: State University of New York Press
Release Date : 2012-02-01
Complexity In World Politics written by Neil E. Harrison and has been published by State University of New York Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-01 with Social Science categories.
Despite one hundred years of theorizing, scholars and practitioners alike are constantly surprised by international and global political events. The collapse of communism in Europe, the 1997 Asian financial crisis, and 9/11 have demonstrated the inadequacy of current models that depict world politics as a simple, mechanical system. Complexity in World Politics shows how conventional theories oversimplify reality and illustrates how concepts drawn from complexity science can be adapted to increase our understanding of world politics and improve policy. In language free of jargon, the book's distinguished contributors explain and illustrate a complexity paradigm of world politics and define its central concepts. They show how these concepts can improve conventional models as well as generate new ideas, hypotheses, and empirical approaches, and conclude by outlining an agenda of theoretical development and empirical research to create and test complex systems theories of issue-areas of world politics.
Massively Multi Agent Systems Ii
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Author : Donghui Lin
language : en
Publisher: Springer
Release Date : 2019-05-18
Massively Multi Agent Systems Ii written by Donghui Lin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-18 with Computers categories.
This book contains revised selected and invited papers presented at the International Workshop on Massively Multi-Agent Systems, MMAS 2018, held in Stockholm, Sweden, in July 2018. The 7 revised full papers presented were carefully reviewed and selected for inclusion in this volume. Also included are 3 post-workshop papers. The papers discuss enabling technologies, new architectures, promising applications, and challenges of massively multi-agent systems in the era of IoT. They are organized in the following topical sections: multi-agent systems and Internet of Things; architectures for massively multi-agent systems; and applications of massively multi-agent systems.
Agent Based Models With Matlab
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Author : Erik Cuevas
language : en
Publisher: Elsevier
Release Date : 2025-01-20
Agent Based Models With Matlab written by Erik Cuevas and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-20 with Technology & Engineering categories.
Agent-Based Models with MATLAB introduces Agent-Based Modeling (ABM), one of the most important methodologies for complex systems modeling. The book explores computational implementations and accompanying MATLAB software code as a means of inspiring readers to apply agent-based models to solve a diverse range of problems. It comes with a large amount of software code that accompanies the main text, and the modeling systems described in the book are implemented using MATLAB as the programming language. Despite the heavy mathematical components of Agent-Based Models and complex systems, it is possible to utilize these models without in-depth understanding of their mathematical fundamentals.This book enables computer scientists, mathematicians, researchers, and engineers to apply ABM in a wide range of research and engineering applications. It gradually advances from basic to more advanced methods while reinforcing complex systems through practical, hands-on applications of various computational models. - Considers the most crucial methods and models of Agent-Based Models and complex systems - Demonstrates how to use computational implementations in applying Agent-Based Models to solve a diverse range of scientific research and engineering problems - Provides a wide range of hands-on implementation examples, along with MATLAB software code readers can experiment with and modify
An Introduction To Agent Based Modeling
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Author : Uri Wilensky
language : en
Publisher: MIT Press
Release Date : 2015-04-03
An Introduction To Agent Based Modeling written by Uri Wilensky and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-03 with Computers categories.
A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach—with hundreds of examples and exercises using NetLogo—enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.