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AGENT-BASED MODELS (QUANTITATIVE APPLICATIONS IN THE By Nigel Gilbert **Mint**

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Item specifics

Condition
Like new
A book that looks new but has been read. Cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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“Book is in Like New / near Mint Condition. Will include dust jacket if it originally came with ...
ISBN-10
1412949645
Book Title
Agent-Based Models (Quantitative Applications in the Social
Genre
Research methods: general
ISBN
9781412949644

About this product

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
1412949645
ISBN-13
9781412949644
eBay Product ID (ePID)
59361575

Product Key Features

Number of Pages
112 Pages
Language
English
Publication Name
Agent-Based Models
Subject
Game Theory, Computer Simulation, Research, Statistics
Publication Year
2007
Type
Textbook
Subject Area
Mathematics, Computers, Social Science
Author
Nigel Gilbert
Series
Quantitative Applications in the Social Sciences Ser.
Format
Perfect

Dimensions

Item Height
0.2 in
Item Weight
5 Oz
Item Length
8.3 in
Item Width
5.4 in

Additional Product Features

Intended Audience
College Audience
LCCN
2007-014599
Dewey Edition
22
Series Volume Number
153
Illustrated
Yes
Dewey Decimal
519.3
Table Of Content
Series Editors IntroductionPrefaceAcknowledgments1. The Idea of Agent-Based Modeling1.1 Agent-Based Modeling1.2 Some Examples1.3 The Features of Agent-Based Modeling1.4 Other Related Modeling Approaches2. Agents, Environments, and Timescales2.1 Agents2.2 Environments2.3 Randomness2.4 Time3. Using Agent-Based Models in Social Science Research3.1 An Example of Developing an Agent-Based Model3.2 Verification: Getting Rid of the Bugs3.3 Validation3.4 Techniques for Validation3.5 Summary4. Designing and Developing Agent-Based Models4.1 Modeling Toolkits, Libraries, Languages, Frameworks, and Environments4.2 Using NetLogo to Build Models4.3 Building the Collectivities Model Step by Step4.4 Planning an Agent-Based Model Project4.5 Reporting Agent-Based Model Research4.6 Summary5. Advances in Agent-Based Modeling5.1 Geographical Information Systems5.2 Learning5.3 Simulating LanguageResourcesGlossaryReferencesIndexAbout the Author
Synopsis
Agent-based modeling (ABM) is a technique increasingly used in a broad range of social sciences. It involves building a computational model consisting of "agents," each of which represents an actor in the social world, and an "environment" in which the agents act. Agents are able to interact with each other and are programmed to be pro-active, autonomous and able to perceive their virtual world. The techniques of ABM are derived from artificial intelligence and computer science, but are now being developed independently in research centers throughout the world. In Agent-Based Models, Nigel Gilbert reviews a range of examples of agent-based modeling, describes how to design and build your own models, and considers practical issues such as verification, validation, planning a modeling project, and how to structure a scholarly article reporting the results of agent-based modeling. It includes a glossary, an annotated list of resources, advice on which programming environment to use when creating agent-based models, and a worked, step-by-step example of the development of an ABM. This latest volume in the SAGE Quantitative Applications in the Social Sciences series will have wide appeal in the social sciences, including the disciplines of sociology, economics, social psychology, geography, economic history, science studies, and environmental studies. It is appropriate for graduate students, researchers and academics in these fields, for both those wanting to keep up with new developments in their fields and those who are considering using ABM for their research. Key Features Aimed at readers who are new to ABM Offers a brief, but thorough, treatment of a cutting-edge technique Offers practical advice about how to design and create ABM Includes carefully chosen examples from different disciplines Learn more about "The Little Green Book" - QASS Series Click Here, Agent-based modeling (ABM) is a technique increasingly used in a broad range of social sciences. It involves building a computational model consisting of "agents," each of which represents an actor in the social world, and an "environment" in which the agents act. Agents are able to interact with each other and are programmed to be pro-active, autonomous and able to perceive their virtual world. The techniques of ABM are derived from artificial intelligence and computer science, but are now being developed independently in research centers throughout the world.In Agent-Based Models, Nigel Gilbert reviews a range of examples of agent-based modeling, describes how to design and build your own models, and considers practical issues such as verification, validation, planning a modeling project, and how to structure a scholarly article reporting the results of agent-based modeling. It includes a glossary, an annotated list of resources, advice on which programming environment to use when creating agent-based models, and a worked, step-by-step example of the development of an ABM.This latest volume in the SAGE Quantitative Applications in the Social Sciences series will have wide appeal in the social sciences, including the disciplines of sociology, economics, social psychology, geography, economic history, science studies, and environmental studies. It is appropriate for graduate students, researchers and academics in these fields, for both those wanting to keep up with new developments in their fields and those who are considering using ABM for their research.Key Features Aimed at readers who are new to ABM Offers a brief, but thorough, treatment of a cutting-edge technique Offers practical advice about how to design and create ABM Includes carefully chosen examples from different disciplines Learn more about "The Little Green Book" - QASS Series! Click Here, Agent-based modeling (ABM) is a technique increasingly used in a broad range of social sciences. It involves building a computational model consisting of ?agents, ? each of which represents an actor in the social world, and an "environment" in which the agents act. Agents are able to interact with each other and are programmed to be pro-active, autonomous and able to perceive their virtual world. The techniques of ABM are derived from artificial intelligence and computer science, but are now being developed independently in research centers throughout the world.In Agent-Based Models, Nigel Gilbert reviews a range of examples of agent-based modeling, describes how to design and build your own models, and considers practical issues such as verification, validation, planning a modeling project, and how to structure a scholarly article reporting the results of agent-based modeling. It includes a glossary, an annotated list of resources, advice on which programming environment to use when creating agent-based models, and a worked, step-by-step example of the development of an ABM.This latest volume in the SAGE Quantitative Applications in the Social Sciences series will have wide appeal in the social sciences, including the disciplines of sociology, economics, social psychology, geography, economic history, science studies, and environmental studies. It is appropriate for graduate students, researchers and academics in these fields, for both those wanting to keep up with new developments in their fields and those who are considering using ABM for their research.Key FeaturesAimed at readers who are new to ABMOffers a brief, but thorough, treatment of a cutting-edge techniqueOfferspractical advice about how to design and create ABMIncludes carefully chosen examples from different disciplines, Agent-based modeling (ABM) is a technique increasingly used in a broad range of social sciences. It involves building a computational model consisting of "agents," each of which represents an actor in the social world, and an "environment" in which the agents act. Agents are able to interact with each other and are programmed to be pro-active, autonomous and able to perceive their virtual world. The techniques of ABM are derived from artificial intelligence and computer science, but are now being developed independently in research centers throughout the world. In Agent-Based Models, Nigel Gilbert reviews a range of examples of agent-based modeling, describes how to design and build your own models, and considers practical issues such as verification, validation, planning a modeling project, and how to structure a scholarly article reporting the results of agent-based modeling. It includes a glossary, an annotated list of resources, advice on which programming environment to use when creating agent-based models, and a worked, step-by-step example of the development of an ABM. This latest volume in the SAGE Quantitative Applications in the Social Sciences series will have wide appeal in the social sciences, including the disciplines of sociology, economics, social psychology, geography, economic history, science studies, and environmental studies. It is appropriate for graduate students, researchers and academics in these fields, for both those wanting to keep up with new developments in their fields and those who are considering using ABM for their research. Key Features Aimed at readers who are new to ABM Offers a brief, but thorough, treatment of a cutting-edge technique Offers practica
LC Classification Number
HA29.G527 2008

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    A smooth and professional transaction throughout. The item was exactly as described, clearly listed, and fairly priced. Communication from the seller was prompt, polite, and helpful, with dispatch confirmed quickly. The parcel was securely packaged and arrived in excellent condition, ahead of the expected delivery date. Care was taken at every stage of the process. I would be happy to buy from this seller again—many thanks for a reliable and well-handled sale.
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    Item was shipped quickly and packaged well. Item was exactly as described, brand new and it was even sealed. The seller also messaged me as soon as the purchase went through so communication was great. This was the last book in the series that I needed and to be able to find it in such great condition and at a great cost was unexpected. Highly recommend this seller and will definitely buy from again in the future.
  • e***2 (1298)- Feedback left by buyer.
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    Mint condition and brand new, at the most competitive price. Top customer service, which includes: communication, professional packaging which protected the dust cover from bending and corners from bumping. Speedy shipping and delivery from across the country. A highly recommended seller with whom I would easily shop again. Thank you!