Towards a quantum-like cognitive architecture for decision-making

2019/05/31 by Catarina Moreira, Lauren Fell, Shahram Dehdashti +2 · 8 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Cognition #Cognitive Computing and Networks #Cognitive architecture #Cognitive bias #Cognitive model #Cognitive systems #Decision-Making and Behavioral Economics #Heuristics #Quantum Mechanics and Applications #cs.AI

paper · pdf · doi:10.1017/s0140525x19001687

published in Behavioral and Brain Sciences 43, e17 (Cambridge University Press)

openalex created_date 2019/05/29 · openalex publication_date 2020/01/01 · arxiv created 2020/11/08 · arxiv updated 2020/11/10 · openalex updated_date 2026/08/05

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.

Citations

• Can quantum probability provide a new direction for cognitive modeling?
• In two minds: dual-process accounts of reasoning
• Quantum mechanics, interference, and the brain
• Undecidability of the Spectral Gap (short version)
• True contextuality beats direct influences in human decision making.
• Quantum theory cannot consistently describe the use of itself