Abstract
Systems thinking and complex adaptive systems theories share a number of components, namely emergence, self-organization, and hierarchies of interacting systems. We seek to integrate these schools of thought and discuss the similarities and differences of these two models, to introduce systems dynamics and agent-based modeling as methods for modeling complex systems, and how causal-loop diagrams can be used as a means to clarify the complex interactions among components (agents). We then apply a mixture of these different but similar techniques to a fly ecosystem modeling problem to demonstrate their effectiveness.
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Abbott, R., Hadžikadić, M. (2017). Complex Adaptive Systems, Systems Thinking, and Agent-Based Modeling. In: Hadžikadić, M., Avdaković, S. (eds) Advanced Technologies, Systems, and Applications. Lecture Notes in Networks and Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-319-47295-9_1
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DOI: https://doi.org/10.1007/978-3-319-47295-9_1
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