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Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis

2013; Springer Nature; Linguagem: Inglês

10.1007/978-3-642-53734-9_2

2194-7287

Nelson Fernández, Carlos Eduardo Maldonado, Carlos Gershenson,

Evolutionary Algorithms and Applications

In recent decades, the scientific study of complex systems (Bar-Yam 1997; Mitchell 2009) has demanded a paradigm shift in our worldviews (Gershenson et al. 2007; Heylighen et al. 2007). Traditionally, science has been reductionistic. Still, complexity occurs when components are difficult to separate, due to relevant interactions. These interactions are relevant because they generate novel informationwhich determines the future of systems. This fact has several implications (Gershenson 2013).