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Shown here is how basic concepts of physics can be used to improve models in finance, economics, psychology and biology. Readers are introduced to how physical theory can inform non-physical phenomena in the social sciences, thereby improving decision making and modeling capabilities in research-based and professional settings.
Consisting of three parts, the first part deals with the application of quantum operator methods to financial transactions and population dynamics. Part two develops physical concepts, working from classical Lagrangian and Hamiltonian mechanics and leading to an introduction of quantum information and its application to decision making. The final part treats classical and quantum probability theory in some detail and deals, at a more advanced level, with the impact of quantum probabilities on common knowledge and common beliefs between agents in systems.
Quantum Methods in Social Science is a high level textbook for advanced undergraduate or graduate students of economics, finance and business, while also being of interest to those with a background in physics.
Quantum Counting: The Number Operator in a Social Science Context:
Classical Interlude: Modelling Population Dynamics
A Quantum Description of Systems
More Elaborate Systems
References — Part I
The Quantum-Like Paradigm with Simple Applications:
Taking a Step Back
Modeling Information with an Operational Formalism
Decision Making and Quantum Probability
References — Part II
The Quantum-Like Paradigm with Advanced Applications:
Basics of Classical Probability
Quantum(-Like) Formalization of Common Knowledge
References — Part III
Readership: Advanced undergraduate or graduate students of economics, finance and business, while also being of interest to those with a background in physics.