QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision

• URL: http://arxiv.org/abs/2006.02256v2
• Date: Mon, 28 Jun 2021 18:39:34 GMT
• Title: QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision
• Authors: Catarina Moreira and Matheus Hammes and Rasim Serdar Kurdoglu and Peter Bruza
• Abstract summary: This paper provides the foundations of a unified cognitive decision-making framework (QulBIT) which is derived from quantum theory. We detail the main modules of the unified framework, the explanatory analysis method, and illustrate their application in situations violating the Sure Thing Principle.
• Score: 0.11470070927586014
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper provides the foundations of a unified cognitive decision-making framework (QulBIT) which is derived from quantum theory. The main advantage of this framework is that it can cater for paradoxical and irrational human decision making. Although quantum approaches for cognition have demonstrated advantages over classical probabilistic approaches and bounded rationality models, they still lack explanatory power. To address this, we introduce a novel explanatory analysis of the decision-maker's belief space. This is achieved by exploiting quantum interference effects as a way of both quantifying and explaining the decision-maker's uncertainty. We detail the main modules of the unified framework, the explanatory analysis method, and illustrate their application in situations violating the Sure Thing Principle.

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