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Artículo
On the Phenomenological Reconstruction of Complex Systems—The Scale-Free Conceptualization Hypothesis
(Wiley, 2013)
Phenomenological reconstruction of a complex system (CS) from collected and selected data allows us to work with formal models (representations) of the system. The task of building a qualitative model necessitates the ...
Artículo
Explainable Artificial Intelligence in Data Science: From Foundational Issues Towards Socio-technical Considerations
(Springer, 2022)
A widespread need to explain the behavior and outcomes of AI-based systems has emerged, due to their ubiquitous presence. Thus, providing renewed momentum to the relatively new research area of eXplainable AI (XAI). ...
Artículo
Knowledge representation for explainable artificial intelligence: modeling foundations from complex systems
(Springer, 2022)
Alongside the particular need to explain the behavior of black box artificial intelligence (AI) systems, there is a general need to explain the behavior of any type of AI-based system (the explainable AI, XAI) or complex ...