In the second chapter it was introduced that learning in and about complex systems can be done by visualizing mental models and that learning can be understood as a feedback process. Using the same techniques complex systems can be represented as models. Based on these models system behavior and policy testing can be analyzed to learn about the system.
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© 2009 Gabler | GWV Fachverlage GmbH
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Hürlimann, M. (2009). Conclusion and Implication. In: Dealing with Real-World Complexity. Gabler. https://doi.org/10.1007/978-3-8349-8074-8_9
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DOI: https://doi.org/10.1007/978-3-8349-8074-8_9
Publisher Name: Gabler
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Online ISBN: 978-3-8349-8074-8
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