Springer Problems, Methods and Tools in Experimental and Behavioral Economics: Computational Methods in Experimental Economics (CMEE) 2017 Conference (Springer Proceedings in Business and Economics)

These proceedings highlight research on the latest trends and methods in experimental and behavioral economics. Featuring contributions presented at the 2017 Computational Methods in Experimental Economics (CMEE) conference, which was held in Lublin, Poland, it merges findings from various domains to present deep insights into topics such as game theory, decision theory, cognitive neuroscience and artificial intelligence. The fields of experimental economics and behavioral economics are rapidly evolving. Modern applications of experimental economics require the integration of know-how from disciplines including economics, computer science, psychology and neuroscience. The use of computer technology enhances researchers’ ability to generate and analyze large amounts of data, allowing them to use non-standard methods of data logging for experiments such as cognitive neuronal methods. Experiments are currently being conducted with software that, on the one hand, provides interaction with the people involved in experiments, and on the other helps to accurately record their responses. The goal of the CMEE conference and the papers presented here is to provide the scientific community with essential research on and applications of computer methods in experimental economics. Combining theories, methods and regional case studies, the book offers a valuable resource for all researchers, scholars and policymakers in the areas of experimental and behavioral economics. From the Back Cover These proceedings highlight research on the latest trends and methods in experimental and behavioral economics. Featuring contributions presented at the 2017 Computational Methods in Experimental Economics (CMEE) conference, which was held in Lublin, Poland, it merges findings from various domains to present deep insights into topics such as game theory, decision theory, cognitive neuroscience and artificial intelligence. The fields of experimental economics and behavioral economics are rapidly evolving. Modern applications of experimental economics require the integration of know-how from disciplines including economics, computer science, psychology and neuroscience. The use of computer technology enhances researchers’ ability to generate and analyze large amounts of data, allowing them to use non-standard methods of data logging for experiments such as cognitive neuronal methods. Experiments are currently being conducted with software that, on the one hand, provides interaction with the people involved in experiments, and on the other helps to accurately record their responses. The goal of the CMEE conference and the papers presented here is to provide the scientific community with essential research on and applications of computer methods in experimental economics. Combining theories, methods and regional case studies, the book offers a valuable resource for all researchers, scholars and policymakers in the areas of experimental and behavioral economics. About the Author Kesra Nermend is Professor at the University of Szczecin, President of Center of Knowledge and Technology Transfer at University of Szczecin, and Head of the Department of Computational Methods in Experimental Economics in Institute of IT in Management in The Faculty of Economics and Management of the University of Szczecin. He has authored and co-authored about 100 publications mainly in the area of using quantitative methods and tools for the analysis of economic phenomena. Prof. Kesra is also Chair of Organization Committees and member of Programme Committees of scientific conferences; member of Polish Information Processing Society, West-Pomeranian branch; member of Scientific Society of Organization and Management, West-Pomeranian branch; member of Polish Association for Knowledge Management; member of Section of Classification and Data Analysis at Polish Statistical Association and West Pomeranian Information Society Council. Mał