Quantum Decision Theory and Complexity Modelling in Economics and Public Policy (1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	New Economic Windows
Release date:	October 2023
First published:	2023
Editors:	Anirban Chakraborti • Emmanuel Haven • Sudip Patra • Naresh Singh
Dimensions:	235 x 155mm (L x W)
Pages:	256
Edition:	1st ed. 2023
ISBN-13:	978-3-03-138832-3
Categories:	Books
LSN:	3-03-138832-1
Barcode:	9783031388323

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