By G. P. J. Dijkema, Z. Lukszo, M. P. C. Weijnen (auth.), Koen H. van Dam, Igor Nikolic, Zofia Lukszo (eds.)

ISBN-10: 9400749325

ISBN-13: 9789400749320

ISBN-10: 9400749333

ISBN-13: 9789400749337

Decision makers in huge scale interconnected community structures require simulation types for determination help. The behaviour of those structures is dependent upon many actors, located in a dynamic, multi-actor, multi-objective and multi-level surroundings. How can such platforms be modelled and the way can the socio-technical complexity be captured? Agent-based modelling is a confirmed method of deal with this problem. This e-book offers a realistic creation to agent-based modelling of socio-technical structures, in response to a technique that has been constructed at TU Delft and which has been deployed in various case reviews. The ebook contains components: the 1st offers the historical past, idea and method in addition to useful guidance and strategies for construction types. within the moment half this idea is utilized to a couple of case experiences, the place for every version the improvement steps are awarded largely, getting ready the reader for developing personal models.

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Extra info for Agent-Based Modelling of Socio-Technical Systems

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For any agent-based simulation model, we thus need to capture the relevant behaviour and applicable interactions. Once that has been accomplished, we can encode them into a simulation model and determine or generate the starting condition. Upon pressing “run” the agents will begin to interact and form linkages, and we can watch the system evolve. As a matter of course, apart from the behaviour and interaction, we can also track all kinds of characteristics of the agents and visualise them per agent or system component or in terms of the evolved system.

We are getting closer, but these points need a little more elaboration to be sure we all agree on what systems are. Idealisation Systems are not actual entities, as such, but are idealisations or abstractions of a part of the real world. A given system might seem clear enough, an obvious unit or entity that apparently stands alone, like a greenhouse. But closer inspection reveals that no two greenhouses are exactly alike, with, for example, some producing their own energy while others buy from the energy network.

Finally, we wrap the chapter up with an introduction to the basics of generative science and agent-based modelling as a tool for a generative science approach to complex adaptive socio-technical systems. 3 Example: Westland Greenhouse Cluster Throughout this chapter, we will use the Westland greenhouse cluster in the Netherlands as a running example of a socio-technical system in order to clarify the theoretical notions. Greenhouses represent a good example to work with as they have clear human and social components as well as technical components, yet both are entwined in such a way that there is little value in trying to examine either in isolation.

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Agent-Based Modelling of Socio-Technical Systems by G. P. J. Dijkema, Z. Lukszo, M. P. C. Weijnen (auth.), Koen H. van Dam, Igor Nikolic, Zofia Lukszo (eds.)

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