Titlebook: Agent-Based Modelling of Socio-Technical Systems; Koen H. Dam,Igor Nikolic,Zofia Lukszo Book 2013 Springer Science+Business Media Dordrech

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Next Steps in Modelling Socio-technical Systems: Towards Collaborative Modellingess more robust, scalable, maintainable and transparent. In the context of modelling socio-technical systems (existing infrastructures and businesses) models are primarily data-driven: they contain heterogeneous agents, numerous assumptions and facts about agents and their environment. The data (the

mendacity

Crystal Structure Determinationctors are illustrated with a range of problems in the way they are operating today and how they may evolve over time. These problems are not easy to solve because such systems have many components and levels, involving different parties who all primarily pursue their own local objectives in a dynami

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Crystal Structure Determinationthat are so important to modern life. First the notions of systems, adaptation and complexity are discussed as individual concepts before addressing complex adaptive systems as a whole. This is followed by a discussion on generative science and agent-based modelling, with special attention paid to h

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Crystal Structure Determination presented in Chaps.?. and?. are applied to the development of models of various socio-technical systems. Three different time scales for the case studies can be identified: short term (.), middle term (.) and long term (.). The first case study deals with operational decision making in supply chain

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https://doi.org/10.1007/978-3-319-65912-1ehaviour in the purchasing of lamps is simulated. In this model, consumers are modelled based on heterogeneous preferences, and they develop opinions (based on memories and perceptions) about lamps and share these in a social network structure. Lighting technology is modelled using lamps of many dif

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https://doi.org/10.1007/978-3-540-69949-1chnical system in order to analyse CO. policy instruments, comparing the results of “no intervention” with those of implementing taxation and emissions trading to reduce CO. emissions in the production of electric power. Because power plants currently in operation have only a small emissions reducti

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https://doi.org/10.1007/978-3-540-69949-1 Against a background of impending metal scarcity and growing stocks of metal waste, the case study explores the development of “closed-loop” flow systems for metals in mobile phones. Agents in the developed model are designed to represent actors in the mobile phone life-cycle, including manufacture

過度

https://doi.org/10.1007/978-3-540-69949-1ess more robust, scalable, maintainable and transparent. In the context of modelling socio-technical systems (existing infrastructures and businesses) models are primarily data-driven: they contain heterogeneous agents, numerous assumptions and facts about agents and their environment. The data (the