Problems, methods and tools in experimental and behavioral economics. Computational Methods in Experimental Economics (CMEE) 2017 Conference

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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Main Authors: 1423211781137 Nermend, K. (ed.), 1423211781139 Computational Methods in Experimental Economics Conference (Poland) Lublin (Poland) 2017 eng, 1423211781138 Latuszynska, M. (ed.)
Format: Texto biblioteca
Language:eng
Published: Cham (Switzerland) Springer 2018
Subjects:management sciences, game theory, data processing, computers, social sciences, econometrics, computer applications, economics, SDGs, Goal 8 Decent work and economic growth,
Online Access:https://link.springer.com/book/10.1007/978-3-319-99187-0
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spelling unfao:8541322021-05-05T06:52:06ZProblems, methods and tools in experimental and behavioral economics. Computational Methods in Experimental Economics (CMEE) 2017 Conference 1423211781137 Nermend, K. (ed.) 1423211781139 Computational Methods in Experimental Economics Conference (Poland) Lublin (Poland) 2017 eng 1423211781138 Latuszynska, M. (ed.) textCham (Switzerland) Springer2018engThese 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.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.management sciencesgame theorydata processingcomputerssocial scienceseconometricscomputer applicationseconomicsSDGsGoal 8 Decent work and economic growthhttps://link.springer.com/book/10.1007/978-3-319-99187-0URN:ISBN:978-3-319-99187-0
institution FAO IT
collection Koha
country Italia
countrycode IT
component Bibliográfico
access En linea
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databasecode cat-fao-it
tag biblioteca
region Europa del Sur
libraryname David Lubin Memorial Library of FAO
language eng
topic management sciences
game theory
data processing
computers
social sciences
econometrics
computer applications
economics
SDGs
Goal 8 Decent work and economic growth
management sciences
game theory
data processing
computers
social sciences
econometrics
computer applications
economics
SDGs
Goal 8 Decent work and economic growth
spellingShingle management sciences
game theory
data processing
computers
social sciences
econometrics
computer applications
economics
SDGs
Goal 8 Decent work and economic growth
management sciences
game theory
data processing
computers
social sciences
econometrics
computer applications
economics
SDGs
Goal 8 Decent work and economic growth
1423211781137 Nermend, K. (ed.)
1423211781139 Computational Methods in Experimental Economics Conference (Poland) Lublin (Poland) 2017 eng
1423211781138 Latuszynska, M. (ed.)
Problems, methods and tools in experimental and behavioral economics. Computational Methods in Experimental Economics (CMEE) 2017 Conference
description 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.
format Texto
topic_facet management sciences
game theory
data processing
computers
social sciences
econometrics
computer applications
economics
SDGs
Goal 8 Decent work and economic growth
author 1423211781137 Nermend, K. (ed.)
1423211781139 Computational Methods in Experimental Economics Conference (Poland) Lublin (Poland) 2017 eng
1423211781138 Latuszynska, M. (ed.)
author_facet 1423211781137 Nermend, K. (ed.)
1423211781139 Computational Methods in Experimental Economics Conference (Poland) Lublin (Poland) 2017 eng
1423211781138 Latuszynska, M. (ed.)
author_sort 1423211781137 Nermend, K. (ed.)
title Problems, methods and tools in experimental and behavioral economics. Computational Methods in Experimental Economics (CMEE) 2017 Conference
title_short Problems, methods and tools in experimental and behavioral economics. Computational Methods in Experimental Economics (CMEE) 2017 Conference
title_full Problems, methods and tools in experimental and behavioral economics. Computational Methods in Experimental Economics (CMEE) 2017 Conference
title_fullStr Problems, methods and tools in experimental and behavioral economics. Computational Methods in Experimental Economics (CMEE) 2017 Conference
title_full_unstemmed Problems, methods and tools in experimental and behavioral economics. Computational Methods in Experimental Economics (CMEE) 2017 Conference
title_sort problems, methods and tools in experimental and behavioral economics. computational methods in experimental economics (cmee) 2017 conference
publisher Cham (Switzerland) Springer
publishDate 2018
url https://link.springer.com/book/10.1007/978-3-319-99187-0
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