Empirical Agent-Based Modelling - Challenges and Solutions : Volume 1, The Characterisation and Parameterisation of Empirical Agent-Based Models
- 種類:
- 電子ブック
- 責任表示:
- edited by Alexander Smajgl, Olivier Barreteau
- 出版情報:
- New York, NY : Springer New York : Imprint: Springer, 2014
- 著者名:
- ISBN:
- 9781461461340 [1461461340]
- 注記:
- 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
- ローカル注記:
- 学内専用E-BOOKS (local access only)
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