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Fuzzy Worlds and the Quest for Modeling Complex-Adaptive Systems

  • Miguel MelgarejoEmail author
Chapter
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Part of the Studies in Computational Intelligence book series (SCI, volume 862)

Abstract

This chapter introduces the concept of fuzzy world as an ontological basis for modeling complex-adaptive systems. The concept is grounded on a phenomenological analysis of these systems over micro and macro scales. Discussion is developed from a recapitulation of some concepts of complexity science and complex systems modeling. Finally, the argument points out that fuzzy worlds find in fuzzy sets and systems theory a natural epistemological and methodological support.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Universidad Distrital Francisco José de CaldasBogotáColombia

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