Problems, Methods and Tools in Experimental and Behavioral Economics - Computational Methods in Experimental Economics (CMEE) 2017 Conference (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Business and Economics
Release date:	September 2018
First published:	2018
Editors:	Kesra Nermend • Malgorzata Latuszynska
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	342
Edition:	1st ed. 2018
ISBN-13:	978-3-319-99186-3
Categories:	Books > Business & Economics > Economics > Econometrics > General
LSN:	3-319-99186-8
Barcode:	9783319991863

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