Agent Based Models of Geographical Systems

This book PDF is perfect for those who love Social Science genre, written by Alison J. Heppenstall and published by Springer Science & Business Media which was released on 24 November 2011 with total hardcover pages 760. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Agent Based Models of Geographical Systems books below.

Agent Based Models of Geographical Systems
Agent Based Models of Geographical Systems
Author : Alison J. Heppenstall
File Size : 49,7 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 24 November 2011
ISBN : 9048189276
Pages : 760 pages
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Agent Based Models of Geographical Systems by Alison J. Heppenstall Book PDF Summary

This unique book brings together a comprehensive set of papers on the background, theory, technical issues and applications of agent-based modelling (ABM) within geographical systems. This collection of papers is an invaluable reference point for the experienced agent-based modeller as well those new to the area. Specific geographical issues such as handling scale and space are dealt with as well as practical advice from leading experts about designing and creating ABMs, handling complexity, visualising and validating model outputs. With contributions from many of the world’s leading research institutions, the latest applied research (micro and macro applications) from around the globe exemplify what can be achieved in geographical context. This book is relevant to researchers, postgraduate and advanced undergraduate students, and professionals in the areas of quantitative geography, spatial analysis, spatial modelling, social simulation modelling and geographical information sciences.

Agent Based Models of Geographical Systems

Agent Based Models of Geographical Systems by Alison J. Heppenstall,Andrew T. Crooks,Linda M. See,Michael Batty

This unique book brings together a comprehensive set of papers on the background, theory, technical issues and applications of agent-based modelling (ABM) within geographical systems. This collection of papers is an invaluable reference point for the experienced agent-based modeller as well those new to the area. Specific geographical issues such

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Agent Based Modelling and Geographical Information Systems

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This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and human action, and interaction. Agent-Based Models (ABM) - computational models which simulate human action and interaction –

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An Introduction to Agent Based Modeling

An Introduction to Agent Based Modeling by Uri Wilensky,William Rand

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

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Agent Based Models

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Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert′s Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues;

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Agent Based Spatial Simulation with NetLogo

Agent Based Spatial Simulation with NetLogo by Arnaud Banos,Christophe Lang,Nicolas Marilleau

Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position in the majority of scientific communities. Agent models are as much tools of understanding, exploration and adaptation as they are media for interdisciplinary exchange. It is in this

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Agent Based Modelling of Socio Technical Systems

Agent Based Modelling of Socio Technical Systems by Koen H. van Dam,Igor Nikolic,Zofia Lukszo

Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is

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Agent Based Modeling of Sustainable Behaviors

Agent Based Modeling of Sustainable Behaviors by Amparo Alonso-Betanzos,Noelia Sánchez-Maroño,Oscar Fontenla-Romero,J. Gary Polhill,Tony Craig,Javier Bajo,Juan Manuel Corchado

Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering

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Social Self Organization by Dirk Helbing

What are the principles that keep our society together? This question is even more difficult to answer than the long-standing question, what are the forces that keep our world together. However, the social challenges of humanity in the 21st century ranging from the financial crises to the impacts of globalization,

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