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Towards a quantum-like cognitive architecture for decision-making

Published online by Cambridge University Press:  11 March 2020

Catarina Moreira
Affiliation:
School of Information Systems, Science and Engineering Faculty, Queensland University of Technology, Brisbane City QLD 4000, [email protected]@[email protected]@qut.edu.auhttps://staff.qut.edu.au/staff/catarina.pintomoreirahttps://staff.qut.edu.au/staff/l3.fellhttps://qutvirtual4.qut.edu.au/web/qut/person-details?id=01783299&roleCode=EMPhttps://staff.qut.edu.au/staff/p.bruza
Lauren Fell
Affiliation:
School of Information Systems, Science and Engineering Faculty, Queensland University of Technology, Brisbane City QLD 4000, [email protected]@[email protected]@qut.edu.auhttps://staff.qut.edu.au/staff/catarina.pintomoreirahttps://staff.qut.edu.au/staff/l3.fellhttps://qutvirtual4.qut.edu.au/web/qut/person-details?id=01783299&roleCode=EMPhttps://staff.qut.edu.au/staff/p.bruza
Shahram Dehdashti
Affiliation:
School of Information Systems, Science and Engineering Faculty, Queensland University of Technology, Brisbane City QLD 4000, [email protected]@[email protected]@qut.edu.auhttps://staff.qut.edu.au/staff/catarina.pintomoreirahttps://staff.qut.edu.au/staff/l3.fellhttps://qutvirtual4.qut.edu.au/web/qut/person-details?id=01783299&roleCode=EMPhttps://staff.qut.edu.au/staff/p.bruza
Peter Bruza
Affiliation:
School of Information Systems, Science and Engineering Faculty, Queensland University of Technology, Brisbane City QLD 4000, [email protected]@[email protected]@qut.edu.auhttps://staff.qut.edu.au/staff/catarina.pintomoreirahttps://staff.qut.edu.au/staff/l3.fellhttps://qutvirtual4.qut.edu.au/web/qut/person-details?id=01783299&roleCode=EMPhttps://staff.qut.edu.au/staff/p.bruza
Andreas Wichert
Affiliation:
Instituto Superior Técnico, University of Lisbon/INESC-ID, 2744-016Porto Salvo, Portugal. [email protected]://web.tecnico.ulisboa.pt/~andreas.wichert/

Abstract

We propose an alternative and unifying framework for decision-making that, by using quantum mechanics, provides more generalised cognitive and decision models with the ability to represent more information compared to classical models. This framework can accommodate and predict several cognitive biases reported in Lieder & Griffiths without heavy reliance on heuristics or on assumptions of the computational resources of the mind.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2020

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