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Author: Francesco C. Billari
Publisher: Taylor & Francis
ISBN: 9783790816402
Category : Business & Economics
Languages : en
Pages : 684
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Book Description
The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.
Author: Francesco C. Billari
Publisher: Taylor & Francis
ISBN: 9783790816402
Category : Business & Economics
Languages : en
Pages : 684
Get Book Here
Book Description
The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.
Author: Francesco C. Billari
Publisher: Springer Science & Business Media
ISBN: 379081721X
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.
Author: Nigel Gilbert
Publisher: SAGE
ISBN: 1412949645
Category : Computers
Languages : en
Pages : 113
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Book Description
Aimed at readers with minimal experience in computer programming, this brief book provides a theoretical and methodological rationale for using ABM in the social sciences. It goes on to describe some carefully chosen examples from different disciplines, illustrating different approaches to ABM. It concludes with practical advice about how to design and create ABM, a discussion of validation procedures, and some guidelines about publishing articles based on ABM.
Author: Joshua M. Epstein
Publisher: Princeton University Press
ISBN: 1400842875
Category : Business & Economics
Languages : en
Pages : 379
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Book Description
Agent-based computational modeling is changing the face of social science. In Generative Social Science, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects. After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation. This book represents a powerful consolidation of Epstein's interdisciplinary research activities in the decade since the publication of his and Robert Axtell's landmark volume, Growing Artificial Societies. Beautifully illustrated, Generative Social Science includes a CD that contains animated movies of core model runs, and programs allowing users to easily change assumptions and explore models, making it an invaluable text for courses in modeling at all levels.
Author: Francesco C. Billari
Publisher: Springer Science & Business Media
ISBN: 3790827150
Category : Social Science
Languages : en
Pages : 215
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Book Description
Agent-Based Computational Demography (ABCD) aims at starting a new stream of research among social scientists whose interests lie in understanding demographic behaviour. The book takes a micro-demographic (agent-based) perspective and illustrates the potentialities of computer simulation as an aid in theory building. The chapters of the book, written by leading experts either in demography or in agent-based modelling, address several key questions. Why do we need agent-based computational demography? How can ABCD be applied to the study of migrations, family demography, and historical demography? What are the peculiarities of agent-based models as applied to the demography of human populations? ABCD is of interest to all scientists interested in studying demographic behaviour, as well as to computer scientists and modellers who are looking for a promising field of application.
Author: Uri Wilensky
Publisher: MIT Press
ISBN: 0262731894
Category : Computers
Languages : en
Pages : 505
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Book Description
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.
Author: Davide Secchi
Publisher: Edward Elgar Publishing
ISBN: 9781839105197
Category :
Languages : en
Pages : 176
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Book Description
This clear and coherent book introduces agent-based modelling (ABM) to those who are not familiar with nor have been previously exposed to computational simulation. Featuring examples, cases and models, the book illustrates how ABM can, and should, be considered as a useful approach and technique for the study of management and organisational systems. Davide Secchi begins by explaining what ABM has to offer as opposed to other techniques, emphasising its suitability to the study of complex social systems. While dissecting the core components of the approach, he introduces key elements and mechanisms with a practice oriented approach rather than insisting solely on logic and theory. With an emphasis on applications and using examples from NetLogo -- one of the most widely used agent-based software platforms -- the book guides the reader through a step-by-step process on how to develop a computational simulation. Featuring a hands-on applied approach that makes a difficult topic easy for non-modellers, How Do I Develop an Agent-Based Model? will be a key resource for business and management Masters-level students embarking on a dissertation project. It will also be a useful reference for PhD students in the field, as well as a starting point for academics who would like to begin using ABM in their research.
Author: Nigel Gilbert
Publisher: SAGE Publications
ISBN: 1506355617
Category : Social Science
Languages : en
Pages : 86
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Book Description
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; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies.
Author: Domenico Delli Gatti
Publisher: Cambridge University Press
ISBN: 1108414990
Category : Business & Economics
Languages : en
Pages : 261
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Book Description
The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.
Author: Alison J. Heppenstall
Publisher: Springer Science & Business Media
ISBN: 9048189276
Category : Social Science
Languages : en
Pages : 747
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Book Description
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.
