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Simulation of Complex Systems
Malmö University, Malmö, Sweden.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-1470-6288
Stockholm University, Stockholm, Sweden.
2017 (English)In: Springer Handbook of Model-Based Science / [ed] Lorenzo Magnani and Tommaso Bertolotti, Cham: Springer, 2017, 1, p. 783-797Chapter in book (Refereed)
Abstract [en]

Understanding and managing complex systems has become one of the biggest challenges for research, policy and industry. Modeling and simulationof complex systems promises to enable us to understand how a human nervous systemand brain not just maintain the activities of a metabolism, but enable the production of intelligent behavior, how huge ecosystems adapt to changes, or what actually influences climatic changes. Also man-made systems are getting more complex and difficult, or even impossible, to grasp. Therefore we need methods and tools that can help us in, for example, estimating how different infrastructure investments will affect the transport system and understanding the behavior of large Internet-based systems in different situations. This type of system is becoming the focus of research and sustainable management as there are now techniques, tools and the computational resources available. This chapter discusses modeling and simulation of such complex systems. We will start by discussing what characterizes complex systems.

Place, publisher, year, edition, pages
Cham: Springer, 2017, 1. p. 783-797
Series
Springer Handbooks
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-64670ISBN: 978-3-319-30526-4 (electronic)ISBN: 978-3-319-30525-7 (print)OAI: oai:DiVA.org:oru-64670DiVA, id: diva2:1178801
Available from: 2018-01-30 Created: 2018-01-30 Last updated: 2018-01-31Bibliographically approved

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Klügl, Franziska

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  • asciidoc
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