Exploring Social Decision Models Through Quantum Fuzzy Approaches
Cecília Botelho, Juliano Buss, Hélida Santos, Giancarlo Lucca, Anderson Paiva Cruz, Adenauer Yamin, Renata Reiser · 2024
This study introduces an innovative quantum fuzzy approach for modeling and simulating complex decision-making processes, utilizing quantum circuits to express membership degrees as unitary transformations. We contrast Quantum Fuzzy Computing with Classical Computing, highlighting advancements in modeling the prisoner's dilemma. Using the Qiskit framework, we demonstrate how quantum fuzzy algorithms featuring connectives such as ‘exclusive or’ and ‘arithmetic mean’ enable detailed modeling of multi-agent relationships via multidimensional quantum registers, showcasing potential advancements in this hybrid research area.