Ebook: Agent-Based Modelling of Socio-Technical Systems
Author: Nikolic Igor, Lukszo Zofia, Dam Koen H. van
- Tags: Complexity., Computational Intelligence., Computer science., Economics., Electric engineering., Energy Technology., Engineering., Simulation and Modeling., Social Sciences general., Affaires, Agent, Computersimulation, Entscheidungsfindung, Science économique, SCIENCE--Research & Methodology, Statistics, Multiagent systems, Computer simulation, Electronic books, SCIENCE -- Research & Methodology, Science économique, Computer science, Engineering, Electric engineering, Economics, Simulation and Modeling, Complexity, Comp
- Series: Agent-based social systems 9
- Year: 2013
- Publisher: Springer Netherlands
- City: New York;Dordrecht
- Language: English
- epub
Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is a proven approach to handle this challenge. This book provides a practical introduction to agent-based modelling of socio-technical systems, based on a methodology that has been developed at Delft University of Technology and which has been deployed in a large number of case studies. The book consists of two parts: the first presents the background, theory and methodology as well as practical guidelines and procedures for building models. In the second part this theory is applied to a number of case studies, where for each model the development steps are presented extensively, preparing the reader for creating own models.
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