Agent-Based Modelling of Socio-Technical Systems - download pdf or read online

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 platforms require simulation versions for choice help. The behaviour of those platforms is dependent upon many actors, located in a dynamic, multi-actor, multi-objective and multi-level atmosphere. How can such structures 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 advent to agent-based modelling of socio-technical platforms, in accordance with a strategy that has been built at TU Delft and which has been deployed in lots of case reviews. The booklet contains components: the 1st offers the heritage, conception and technique in addition to sensible directions and techniques for construction versions. within the moment half this thought is utilized to a couple of case reports, the place for every version the improvement steps are awarded greatly, 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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All of these things, and many more, will be connected to the greenhouse sector, so there is no inarguable system boundary to be drawn. But if too many connections are included then clear relationships and influence will be harder to elucidate and the model will be no more enlightening than simple observations of the real world would have been. 6 System Nestedness When the highest level of one system is also the lowest level of a larger system, then the systems are vertically nested. Each system can be viewed as an isolated whole, or can be viewed as composed of other systems and residing in an environment made of the next higher level system.

2 Theory 21 Fig. 1 Observer-dependence. com/638/), used with permission analyses, especially if the data is provided, expecting the analysis to be replicable and representative of the technology performance. Yet academics might also express a distrust of corporate figures, government statements and the anecdotal evidence of greenhouse growers, if there is no scientific data as support. Which just goes to show that greenhouse growers might trust themselves first and those most like themselves second because the information is so specific and individual, but academics do the same because they believe the methods of science eliminate the specificity or individuality of the subject.

They are coherent entities over some period of time. They have boundaries. More subtly, this quote also suggests that a system is something an observer chooses to observe. All of these concepts, and a few more, will be discussed in this section as we explore the history of systems thinking, the contribution of the systems perspective, and elaborate tricky systems notions such as system boundaries, context and nestedness. 1 History of Systems Thinking Prior to 1950s, the analytic, deterministic and mechanistic world view prevailed in science (Ryan 2008).

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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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