Agent-Based and Individual-Based Modeling: A Practical Introduction

[Steven F. Railsback, Volker Grimm] â Agent-Based and Individual-Based Modeling: A Practical Introduction ✓ Read Online eBook or Kindle ePUB. Agent-Based and Individual-Based Modeling: A Practical Introduction Agent-Based and Individual-Based Modeling features concise and accessible text, numerous examples, and exercises using small but scientific models. The first hands-on introduction to agent-based modeling, from conceptual design to computer implementation to parameterization and analysisProvides an introduction to NetLogo with nine chapters introducing an important modeling concept and showing how to implement it using NetLogoFilled with examples and exercises, with updates and supplementa

Agent-Based and Individual-Based Modeling: A Practical Introduction

Author :
Rating : 4.55 (921 Votes)
Asin : 0691136742
Format Type : paperback
Number of Pages : 352 Pages
Publish Date : 2013-10-20
Language : English

DESCRIPTION:

This accomplishment removes a major impediment to the proliferation of IBM courses. These authors are the right ones to do this as they have a strong background in the philosophical aspects as well as the practical issues of modeling."--Basic and Applied Ecology"Railsback and Grimm have done the heavy lifting required to establish a solid IBM course by providing a carefully crafted inquiry-based curriculum. This book removes any excuse. Although the book seems aimed at a graduate-level course, I also do not see why an ambitiou

Netlogo for ecologists Finally, an introduction to agent-based modeling using Netlogo. Vow! I have been waiting for such a book for years. Looking at the titles of the chapters it looks like the perfect book to learn agent-based modeling and Netlogo at the same time. Indeed, if you are an ecologist, this is THE book for you. Unfortunately, if you are interested in anything else, The Netlogo Us. Excellent resource for teaching secondary school students I have been using this text as a resource for a middle school (7th and 8th grades) computational science class focusing on agent-based modeling. The first projects (mushroom hunters and butterfly hill-climbing) have provided rich experiences for my students. This is my first chance to teach this sort of modeling using NetLogo--after many years of teaching with StarLogo--. NetLogo Book of Railsback and Grimm Excellent book! A thorough introduction to NetLogo programming, most helpful for beginners in the field.I work in Education and this book helps a lot with also TEACHING NetLogo. I strongly recommend it to everyone, Biologist or not, who is working with the specific programmming environment.Aristotelis Gkiolmas, Athens, GREECE.

Steven F. Railsback is adjunct professor of mathematics at Humboldt State University and a consulting environmental scientist. . Volker Grimm is senior scientist in the Department of Ecological Modeling at the Helmholtz Centre for Environmental Research-UFZ in Leipzig and professor at the University of Pot

Agent-Based and Individual-Based Modeling features concise and accessible text, numerous examples, and exercises using small but scientific models. The first hands-on introduction to agent-based modeling, from conceptual design to computer implementation to parameterization and analysisProvides an introduction to NetLogo with nine chapters introducing an important modeling concept and showing how to implement it using NetLogoFilled with examples and exercises, with updates and supplementary materials at railsback-grimm-abm-book/Designed for students and researchers across the biological and social sciencesWritten by leading practitionersLeading universities that have adopted this book include:Amherst CollegeBrigham Young UniversityCarnegie Mellon UniversityCornell UniversityMiami UniversityNorthwestern UniversityOld Dominion UniversityPortland State UniversityRhodes CollegeSusquehanna UniversityUniversity College, DublinUniversity of ArizonaUniversity of British ColumbiaUniversity of MichiganUniversity of South FloridaUniversity of Texas at AustinUniversity of Virginia . This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. The emphasis throughout is on analysis--such as software testing, theory development, robustness analysis, and understanding full models--and on design issues like optimizing model structure and finding good parameter values.

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