posted by user: tagiew || 3500 views || tracked by 5 users: [display]

EEML 2013 : International Workshop on Experimental Economics and Machine Learning

FacebookTwitterLinkedInGoogle

Link: http://eeml2013.hse.ru/
 
When Dec 8, 2013 - Dec 8, 2013
Where Dallas
Submission Deadline Aug 17, 2013
Notification Due Sep 24, 2013
Final Version Due Oct 15, 2013
Categories    interdisciplinary data science   experimental economics   machine learning   game theory
 

Call For Papers

As a part of renowned international conferences on different branches of machine learning, this full-day workshop intends to integrate scientists from experimental economics with those from AI. First workshop – EEML 2012 – has been successfully accomplished at ICFCA 2012 and we look forward to encourage more and more researchers' interactions from both fields. The anticipated target groups of attendees are the Experimental Economics researchers seeking for more efficiency in their research
and the Data Mining researchers seeking for real world data beyond academic toy problems.

In Experimental Economics, laboratory and field experiments are conducted on subjects in order to improve theoretical knowledge about human behavior in interactions. Although paying different amounts of money restricts the preferences of the subjects in experiments, the exclusive application of analytical game theory does not suffice to explain the recorded data. It exacts the development and evaluation of more sophisticated models. The research area additionally includes experiments, where human subjects are involved into an interaction with automated agents. Nowadays experiments are conducted using state-of-art software like z-Tree, which produces huge text data sets.

The more data is used for the evaluation, the more of statistical significance can be achieved. Since huge amounts of behavioral data are required to be scanned for regularities and automated agents are required to simulate and to intervene human interactions, Machine Learning is the tool of choice for the research in Experimental Economics. We hope that this workshop associated with the conference and other related workshops will help to gather researchers from data analysis and economic communities in order to gain the beneficial results.

Related Resources

Ei/Scopus-SGGEA 2025   2025 2nd Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2025)
Ei/Scopus-CCNML 2025   2025 5th International Conference on Communications, Networking and Machine Learning (CCNML 2025)
IEEE-ACAI 2025   2025 IEEE 8th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI 2025)
Ei/Scopus-MLBDM 2025   2025 5th International Conference on Machine Learning and Big Data Management (MLBDM 2025)
IEEE-Ei/Scopus-PRDM 2025   2025 6th International Conference on Pattern Recognition and Data Mining (PRDM 2025)
Ei/Scopus-IPCML 2025   2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025)
S+SSPR 2026   Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition
SPRA 2026   SPIE--2026 6th Symposium on Pattern Recognition and Applications (SPRA 2026)
IEEE- CCRIS 2025   2025 IEEE 6th International Conference on Control, Robotics and Intelligent System (CCRIS 2025)
AAIML 2026   IEEE--2026 International Conference on Advances in Artificial Intelligence and Machine Learning