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.
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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.
Małgorzata Łatuszyńska is Professor and Head of the Department of Economic Processes Modelling and Simulation Methods and Vice-Dean for Student Affairs in Institute of IT in Management in The Faculty of Economics and Management and Vice-president of Center of Knowledge and Technology Transfer at University of Szczecin at the University of Szczecin. Prof. Łatuszyńska is author and co-author of about 170 publications mainly from the scope of simulation methods and tools of computer science in economics, management and transport. She is also Chair and member of Programme Committees of scientific conferences, member of Polish Information Processing Society, West-Pomeranian branch; member of the board of Scientific Society of Organization and Management, West-Pomeranian branch; member of Polish Association For Knowledge Management.
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.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 352 pp. Englisch. Nº de ref. del artículo: 9783030075736
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