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Titlebook: Empirical Agent-Based Modelling - Challenges and Solutions; Volume 1, The Charac Alexander Smajgl,Olivier Barreteau Book 2014 Springer Scie

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書目名稱Empirical Agent-Based Modelling - Challenges and Solutions
副標(biāo)題Volume 1, The Charac
編輯Alexander Smajgl,Olivier Barreteau
視頻videohttp://file.papertrans.cn/309/308843/308843.mp4
概述First comprehensive guidebook for the parameterisation and characterisation of empirical agent-based modelling.This book distinguishes specific modelling situations and provides for each situation a c
圖書封面Titlebook: Empirical Agent-Based Modelling - Challenges and Solutions; Volume 1, The Charac Alexander Smajgl,Olivier Barreteau Book 2014 Springer Scie
描述.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 autonom
出版日期Book 2014
關(guān)鍵詞ABM; Agent-Based Modeling; Empirical Analysis; Human Behavior; Parameterization; Social Simulations
版次1
doihttps://doi.org/10.1007/978-1-4614-6134-0
isbn_softcover978-1-4939-5252-6
isbn_ebook978-1-4614-6134-0
copyrightSpringer Science+Business Media New York 2014
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Using Spatially Explicit Marketing Data to Build Social Simulations,les.However, both scales cannot easilybe connected. This chapter describes a method of using data stemming from geo-marketing research to support this scaling-up process with lifestyles and their localisation that are used as an empirical bridge between the micro and the macro levels.
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How to Characterise and Parameterise Agents in Electricity Market Simulation Models: The Case of Gerket (NEM) as modelled by Genersys. Through initiatives such as formal focus group meetings, gathering observations of industry experts, analysing market data and a selective approach in representing real systems, modellers can improve the design and potential future use of their simulation systems.
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Hannes Werthner,Erich Prem,Carlo Ghezzichapter focusses on the modelling of the individual working dynamics describing how we can design the entering on the labour marking, the job search decision and process and every other process related to work from available data. We argue about the utility of large existing databases to design complex integrated individual dynamics.
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Designing Empirical Agent-Based Models: An Issue of Matching Data, Technical Requirements and Stakeen, we discuss how the distinction of particular cases performed, which is followed by a discussion on the diversity of methods. Finally, we use the cases presented here (admittedly small in number) to provide some initial insights for the selection of suitable methods.
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The Parameterisation of Households in the SimPaSI Model for East Kalimantan, Indonesia,capacity building activities, for instance in agent-based modelling. Following the categories of participation suggested by Barreteau et al. (2010) our process falls into the sixth category of participatory research processes, co-building and control over model use.
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