Overview
- Explores experimental economic analysis in behavioral neuroeconomics
- Features papers from the 2016 Computational Methods in Experimental Economics (CMEE) conference
- Features a variety of computational methods used in neuroeconomics
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Business and Economics (SPBE)
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Table of contents (26 papers)
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Front Matter
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Theoretical Basis of Decision Making: Interdisciplinary Approach
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Front Matter
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Behavioral Aspects of Economic Decision Making
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Front Matter
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Keywords
About this book
This proceedings volume presents the latest scientific research and trends in experimental economics, with particular focus on neuroeconomics. Derived from the 2016 Computational Methods in Experimental Economics (CMEE) conference held in Szczecin, Poland, this book features research and analysis of novel computational methods in neuroeconomics.
Neuroeconomics is an interdisciplinary field that combines neuroscience, psychology and economics to build a comprehensive theory of decision making. At its core, neuroeconomics analyzes the decision-making process not only in terms of external conditions or psychological aspects, but also from the neuronal point of view by examining the cerebral conditions of decision making. The application of IT enhances the possibilities of conducting such analyses. Such studies are now performed by software that provides interaction among all the participants and possibilities to register their reactions more accurately. This book examines some of these applications and methods.
Featuring contributions on both theory and application, this book is of interest to researchers, students, academics and professionals interested in experimental economics, neuroeconomics and behavioral economics.
Editors and Affiliations
About the editors
Kesra Nermend is President of Center of Knowledge and Technology Transfer, Head of the Department of Computer Methods in Experimental Economy, and Professor at Institute of IT in Management in the Faculty of Economics and Management at the University of Szczecin, Poland. He has authored and co-authored about 100 publications mainly in area of quantitative methods and tools for the analysis of economics. He is chair of Organization Committees and member of the Programme Committees of Scientific Conferences. He is also a member of the Board of Polish Information Processing Society, West-Pomeranian branch, member of the Polish Association for Knowledge Management and member of Selection of Classification and Data Analysis at the Polish Statistical Association and West Pomeranian Information Society Council.
Małgorzata Łatuszyńska is Vice-Dean for student affairs in the Faculty of Economics and Management, Vice-President of the Center of Knowledge and Technology Transfer, and Head of the Department of Methods of Economic Processes Modeling and Simulation at the Institute of IT in Management at the University of Szczecin, Poland. She has authored and co-authored 170 publications mainly from the scope of simulation methods and tools for computer science in economics, management and transport. She is Chair and member of the Programme Committees of scientific conferences, member of the Board of Polish Information Processing Society, West-Pomeranian branch, member of the Board of Scientific Society of Organization and Management, West-Pomeranian branch and member of the Polish Association for Knowledge Management.
Bibliographic Information
Book Title: Neuroeconomic and Behavioral Aspects of Decision Making
Book Subtitle: Proceedings of the 2016 Computational Methods in Experimental Economics (CMEE) Conference
Editors: Kesra Nermend, Małgorzata Łatuszyńska
Series Title: Springer Proceedings in Business and Economics
DOI: https://doi.org/10.1007/978-3-319-62938-4
Publisher: Springer Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-62937-7Published: 07 October 2017
Softcover ISBN: 978-3-319-87433-3Published: 18 May 2018
eBook ISBN: 978-3-319-62938-4Published: 06 October 2017
Series ISSN: 2198-7246
Series E-ISSN: 2198-7254
Edition Number: 1
Number of Pages: IX, 419
Number of Illustrations: 18 b/w illustrations, 51 illustrations in colour
Topics: Behavioral/Experimental Economics, Econometrics, Big Data/Analytics, Market Research/Competitive Intelligence