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Fuzzy logics for graded reasoning in applied contexts (2022–2025)

Abstract:
Many things we care about, such as friendship or safety, come in degrees, but our current systems for tracking information are not built to handle this. This project aims to enhance many-valued logic as a tool to manage graded information. It expects to generate new knowledge in the area of logical languages for fuzzy databases and finite domains using an interdisciplinary approach between philosophers, mathematicians and computer scientists. Expected outcomes include new logical methods and modelling techniques for many-valued logics. This will provide significant benefits, such as the enhancement of fuzzy logic as a tool in artificial intelligence to handle reasoning with imprecise concepts, giving meaning to complex real-life data.
Grant type:
ARC Discovery Early Career Researcher Award
Researchers:

  • Dr Guillermo Badia

    ARC DECRA Research Fellow
    School of Historical and Philosophical Inquiry
    Faculty of Humanities, Arts and Social Sciences
Funded by:
Australian Research Council