Quantum decision theory and complexity modelling in economics and public policy
- Cham Springer 2023
- viii, 251 p.
- New Economic Windows .
Table of content: Front Matter Pages i-viii Download chapter PDF Quantum Decision Theory Front Matter Pages 1-1 Download chapter PDF A Brief Overview of the Quantum-Like Formalism in Social Science Andrei Khrennikov, Emmanuel Haven Pages 3-9 Cooperative Functioning of Unconscious and Consciousness from Theory of Open Quantum Systems Andrei Khrennikov Pages 11-23 Hilbert Space Modelling with Applications in Classical Optics, Human Cognition, and Game Theory Partha Ghose, Sudip Patra Pages 25-42 Remodeling Leadership: Quantum Modeling of Wise Leadership David Rooney, Sudip Patra Pages 43-83 Quantum Financial Entanglement: The Case of Strategic Default David Orrell Pages 85-101 Quantum-Like Contextual Utility Framework Application in Economic Theory and Wider Implications Sudip Patra, Sivani Yeddanapudi Pages 103-125 Complexity Modeling in Economics and Public Policy Front Matter Pages 127-127 Download chapter PDF Complexity Economics: Why Does Economics Need This Different Approach? W. Brian Arthur Pages 129-143 Policy and Program Design and Evaluation in Complex Situations Naresh Singh Pages 145-172 Market State Dynamics in Correlation Matrix Space Hirdesh K. Pharasi, Suchetana Sadhukhan, Parisa Majari, Anirban Chakraborti, Thomas H. Seligman Pages 173-194 Interstate Migration and Spread of Covid-19 in Indian States Debajit Jha, Suhaas Neel, Hrishidev, Anirban Chakraborti Pages 195-216 Trade Intervention Under the Belt and Road Initiative with Asian Economies Sunetra Ghatak, Sayantan Roy Pages 217-230 Innovation Diffusion with Intergroup Suppression: A Complexity Perspective Syed Shariq Husain, Joseph Whitmeyer, Anirban Chakraborti Pages 231-246 Back Matter Pages 247-251 [https://link.springer.com/book/10.1007/978-3-031-38833-0]
This book is an outcome of the interdisciplinary conference held at OP Jindal Global University (Quantum Decision-making and Complexity modeling, and their possible applications in social sciences－ economics, finance and public policy). The volume builds upon the emerging fields of Econophysics, Complexity theory and Quantum like modelling in cognition and social sciences, and their plausible applications in economics and public policy. There can be deep linkages between the micro, meso and macro scales at which these paradigms operate. In this data-driven age, greater amounts of information, along with the facility to harvest, sort and process said information, have permitted an expansion of the capability to study a society’s various factors to a degree of detail and inclusiveness that has never before been available to researchers. As a result, an increasing number of throughlines is being discovered, revealing heretofore unknown connections between various disciplines and enhancing the study of such societal tropes as finance, language, shared behavior, and many others. As the reader will see, with clearer understanding of the interconnectedness of society’s assorted parts comes a clearer understanding of the society as a whole. We have received critical thoughts from noted experts in social and natural sciences to explore possible interconnections. The editors of this book earnestly hope that the critical reviews presented in this volume will stimulate further scholarly interest, but also interest among policy practitioners for the purpose of exploring possibilities for creating a new paradigm for comprehending pressing issues of deep uncertainty and emergence in social dynamics. (https://link.springer.com/book/10.1007/978-3-031-38833-0)
9783031388354
Complex systems Computational complexity Economics