NCAIQUANT-PHNov 23, 2016

Towards a new quantum cognition model

arXiv:1611.09212v18 citations
Originality Incremental advance
AI Analysis

This work addresses challenges in modeling human cognition for researchers in quantum cognition, but it appears incremental as it builds on prior quantum-like models with new postulates and applications.

The authors tackled the problem of describing certain cognitive phenomena that are problematic for existing quantum-like decision models by proposing a new quantum knowledge-based theory (QKT). They showed that QKT can coherently describe experimental results related to post-decision cognitive dissonance, question order effects, response replicability, and grand-reciprocity equations.

This article presents a new quantum-like model for cognition explicitly based on knowledge. It is shown that this model, called QKT (quantum knowledge-based theory), is able to coherently describe some experimental results that are problematic for the prior quantum-like decision models. In particular, I consider the experimental results relevant to the post-decision cognitive dissonance, the problems relevant to the question order effect and response replicability, and those relevant to the grand-reciprocity equations. A new set of postulates is proposed, which evidence the different meaning given to the projectors and to the quantum states. In the final part, I show that the use of quantum gates can help to better describe and understand the evolution of quantum-like models.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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