English

Explaining versus Describing Human Decisions. Hilbert Space Structures in Decision Theory

Neurons and Cognition 2019-04-05 v1 Artificial Intelligence Quantum Physics

Abstract

Despite the impressive success of quantum structures to model long-standing human judgement and decision puzzles, the {\it quantum cognition research programme} still faces challenges about its explanatory power. Indeed, quantum models introduce new parameters, which may fit empirical data without necessarily explaining them. Also, one wonders whether more general non-classical structures are better equipped to model cognitive phenomena. In this paper, we provide a {\it realistic-operational foundation of decision processes} using a known decision-making puzzle, the {\it Ellsberg paradox}, as a case study. Then, we elaborate a novel representation of the Ellsberg decision situation applying standard quantum correspondence rules which map realistic-operational entities into quantum mathematical terms. This result opens the way towards an independent, foundational rather than phenomenological, motivation for a general use of quantum Hilbert space structures in human cognition.

Keywords

Cite

@article{arxiv.1904.02523,
  title  = {Explaining versus Describing Human Decisions. Hilbert Space Structures in Decision Theory},
  author = {Sandro Sozzo},
  journal= {arXiv preprint arXiv:1904.02523},
  year   = {2019}
}

Comments

16 pages, 1 figure, LateX

R2 v1 2026-06-23T08:29:15.354Z