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Empirical Agent-Based Modelling - Challenges and Solutions von Alexander Smajgl (2013, Gebundene Ausgabe)

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Produktinformation

This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). In doing so, it provides a timely overview of key ABM methodologies and the most innovative approaches through a variety of empirical applications. It features cutting-edge research from leading academics and practitioners, and will provide a guide for characterising and parameterising human agents in empirical ABM. In order to facilitate learning, this text shares the valuable experiences of other modellers in particular modelling situations. Very little has been published in the area of empirical ABM, and this contributed volume will appeal to graduate-level students and researchers studying simulation modeling in economics, sociology, ecology, and trans-disciplinary studies, such as topics related to sustainability. In a similar vein to the instruction found in a cookbook, this text provides the empirical modeller with a set of 'recipes' ready to be implemented. Agent-based modeling (ABM) is a powerful, simulation-modeling technique that has seen a dramatic increase in real-world applications in recent years. In ABM, a system is modeled as a collection of autonomous decision-making entities called "agents." Each agent individually assesses its situation and makes decisions on the basis of a set of rules. Agents may execute various behaviors appropriate for the system they represent-for example, producing, consuming, or selling. ABM is increasingly used for simulating real-world systems, such as natural resource use, transportation, public health, and conflict. Decision makers increasingly demand support that covers a multitude of indicators that can be effectively addressed using ABM. This is especially the case in situations where human behavior is identified as a critical element. As a result, ABM will only continue its rapid growth. This is the first volume in a series of books that aims to contribute to a cultural change in the community of empirical agent-based modelling. This series will bring together representational experiences and solutions in empirical agent-based modelling. Creating a platform to exchange such experiences allows comparison of solutions and facilitates learning in the empirical agent-based modelling community. Ultimately, the community requires such exchange and learning to test approaches and, thereby, to develop a robust set of techniques within the domain of empirical agent-based modelling. Based on robust and defendable methods, agent-based modelling will become a critical tool for research agencies, decision making and decision supporting agencies, and funding agencies. This series will contribute to more robust and defendable empirical agent-based modelling.

Produktkennzeichnungen

Herausgeber
Olivier Barreteau, Alexander Smajgl
ISBN-10
1461461332
ISBN-13
9781461461333
eBay Product ID (ePID)
165664092

Produkt Hauptmerkmale

Produktart
Lehrbuch
Sprache
Englisch
Anzahl der Seiten
264 Seiten
Verlag
Springer Us, Springer New York
Publikationsname
Empirical Agent-Based Modelling-Challenges And Solutions
Autor
Olivier Barreteau, Alexander Smajgl
Format
Gebundene Ausgabe
Erscheinungsjahr
2013

Zusätzliche Produkteigenschaften

Hörbuch
No
Inhaltsbeschreibung
Hc Gerader Rücken Kaschiert
Item Length
24cm
Item Height
1cm
Item Width
16cm
Item Weight
564g

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Empirical Agent-Based Modelling - Challenges and Solutions von Alexander Smajgl (2013, Gebundene Ausgabe)

About this product

Produktinformation

Produktkennzeichnungen

Produkt Hauptmerkmale

Zusätzliche Produkteigenschaften

Best Selling in Textbooks

Desk Reference to the Diagnostic Criteria from DSM-5-TR by American Psychiatric Association (2022, Trade Paperback)

Diagnostic and Statistical Manual of Mental Disorders DSM-5-TR by American Psychiatric Association (2022, Trade Paperback)

Self Heal by Design : The Role of Micro-organisms for Health by Barbara O'Neill (2018, Trade Paperback)

Leadership : Theory and Practice by Peter G. Northouse (2021, Trade Paperback, Revised edition)

Research Design : Qualitative, Quantitative, and Mixed Methods Approaches by J. David Creswell and John W. Creswell (2022, Trade Paperback)

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (2017, Trade Paperback)

PMBOK® Guide Ser.: Guide to the Project Management Body of Knowledge (PMBOK Guide) and the Standard for Project Management by Project Management Institute (2021, Trade Paperback)

Save on Textbooks

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Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,

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