Reconciling Irrational Human Behavior with AI based Decision Making: A Quantum Probabilistic Approach

TL;DR

This paper introduces a quantum probabilistic framework to model irrational human decision-making, aiming to improve AI systems' ability to detect and predict cognitive biases for better human-agent interactions.

Contribution

It presents a novel quantum-inspired probabilistic model that captures irrational behaviors in human decision-making, addressing limitations of classical models.

Findings

Quantum probabilistic model effectively explains irrational behaviors.

Model improves AI's ability to predict cognitive biases.

Enhances human-AI interaction by understanding decision anomalies.

Abstract

There are many examples of human decision making which cannot be modeled by classical probabilistic and logic models, on which the current AI systems are based. Hence the need for a modeling framework which can enable intelligent systems to detect and predict cognitive biases in human decisions to facilitate better human-agent interaction. We give a few examples of irrational behavior and use a generalized probabilistic model inspired by the mathematical framework of Quantum Theory to model and explain such behavior.