2019/04/04 by Sandro Sozzo, Sozzo, Sandro
Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Neurons and Cognition (q-bio.NC) #Quantum Mechanics and Applications #Quantum Physics (quant-ph)
paper · pdf · doi:10.48550/arxiv.1904.02523
openalex publication_date 2019/04/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Despite the impressive success of quantum structures to model long-standing\nhuman judgement and decision puzzles, the it quantum cognition research\nprogramme still faces challenges about its explanatory power. Indeed, quantum\nmodels introduce new parameters, which may fit empirical data without\nnecessarily explaining them. Also, one wonders whether more general\nnon-classical structures are better equipped to model cognitive phenomena. In\nthis paper, we provide a it realistic-operational foundation of decision\nprocesses using a known decision-making puzzle, the it Ellsberg paradox, as\na case study. Then, we elaborate a novel representation of the Ellsberg\ndecision situation applying standard quantum correspondence rules which map\nrealistic-operational entities into quantum mathematical terms. This result\nopens the way towards an independent, foundational rather than\nphenomenological, motivation for a general use of quantum Hilbert space\nstructures in human cognition.\n