Get Agent-Based Modelling of Socio-Technical Systems PDF

ISBN-10: 9400749333

ISBN-13: 9789400749337

Determination makers in huge scale interconnected community structures require simulation types for choice help. The behaviour of those platforms depends on 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 ebook offers a pragmatic creation to agent-based modelling of socio-technical structures, in keeping with a strategy that has been constructed at TU Delft and which has been deployed in a great number of case reports. The e-book includes components: the 1st offers the history, concept and technique in addition to sensible guidance and techniques for development types. within the moment half this concept is utilized to a couple of case reports, the place for every version the improvement steps are offered commonly, getting ready the reader for developing personal types.

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Additional resources for Agent-Based Modelling of Socio-Technical Systems (Agent-Based Social Systems, Volume 9)

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2009). Co-evolutionary process for modelling large scale socio-technical systems evolution. PhD thesis, Delft University of Technology, the Netherlands. Rohilla Shalizi, C. (2006). Methods and techniques of complex systems science: an overview. In Complex systems science in biomedicine (pp. 33–114). Berlin: Springer. Snelder, M. (2010). Designing robust road networks: a general design method applied to the Netherlands. PhD thesis, Delft University of Technology, the Netherlands. van Dam, K. H.

J. Dijkema et al. Kay, J. (2002). On complexity theory, exergy and industrial ecology: some implications for construction ecology. In C. Kibert, J. Sendzimir, & B. ), Construction ecology: nature as the basis for green buildings (pp. 72–107). London: Spon. , & Vrancken, J. (2006). Decision making in transport infrastructures. In Proceedings of the 2006 IEEE international conference on systems, man and cybernetics, Taipei, Taiwan. Nikolic, I. (2009). Co-evolutionary process for modelling large scale socio-technical systems evolution.

W. Ross Ashby, cited in Ryan (2008) We open the discussion on systems with Ashby’s quote, which introduces several important concepts, some of which are implied rather than stated. Systems are part of the larger whole. 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.

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