Quantum and Classical Bayesian Agents
Abstract
We describe a general approach to modeling rational decision-making agents who adopt either quantum or classical mechanics based on the Quantum Bayesian (QBist) approach to quantum theory. With the additional ingredient of a scheme by which the properties of one agent may influence another, we arrive at a flexible framework for treating multiple interacting quantum and classical Bayesian agents. We present simulations in several settings to illustrate our construction: quantum and classical agents receiving signals from an exogenous source, two interacting classical agents, two interacting quantum agents, and interactions between classical and quantum agents. A consistent treatment of multiple interacting users of quantum theory may allow us to properly interpret existing multi-agent protocols and could suggest new approaches in other areas such as quantum algorithm design.
Cite
@article{arxiv.2106.09057,
title = {Quantum and Classical Bayesian Agents},
author = {John B. DeBrota and Peter J. Love},
journal= {arXiv preprint arXiv:2106.09057},
year = {2022}
}
Comments
51 pages, 17 figures