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Presentation
Data-in-the-cloud City: Análisis proactivo de la información digital de la ciudad
(Universidad de Coimbra, 2011)
Presentation
ASAP: A Framework for Designing Gamified Models of Complex Systems
(IEEE Computer Society, 2016)
This paper introduces ASAP, a framework for the development of mobile gamification of problems where Complex Systems play a fundamental role. This framework allows adding a layer of gamification concepts over a set of ...
Article
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 ...
Article
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). ...
Article
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 ...