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.
CITATION STYLE
Melgarejo, M. (2020). Fuzzy Worlds and the Quest for Modeling Complex-Adaptive Systems. In Studies in Computational Intelligence (Vol. 862, pp. 567–579). Springer. https://doi.org/10.1007/978-3-030-35445-9_39
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