Agent-Based Models (Quantitative Applications in the Social Sciences) by Nigel Gilbert |
by Nigel Gilbert
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Individual-based Modeling and Ecology (Princeton Series in Theoretical and Computational Biology) by Volker Grimm |
by P. Longley
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This book is particularly appealing for the reader interested in models that consider the environmental impacts of social dynamics, in the integration of non-commercial tools (e.g., Swarm and GRASS) and in the exploitation of intelligent agents. (Riccardo Boero, JASSS )
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For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithms have not been adequately represented in the present literature. This book fills that gap and provides much needed information on applications for the research community as well as those in the management of natural resources.
This book is particularly appealing for the reader interested in models that consider the environmental impacts of social dynamics, in the integration of non-commercial tools (e.g., Swarm and GRASS) and in the exploitation of intelligent agents. (Riccardo Boero, JASSS )
Product Description
For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithms have not been adequately represented in the present literature. This book fills that gap and provides much needed information on applications for the research community as well as those in the management of natural resources.
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To acquire a more thorough understanding of the complexity of natural systems, researchers have sought the assistance of advanced computer-based technologies in the development of integrated modeling and simulation systems. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
To acquire a more thorough understanding of the complexity of natural systems, researchers have sought the assistance of advanced computer-based technologies in the development of integrated modeling and simulation systems. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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