EEML 2012 : International Workshop on Experimental Economics and Machine Learning
Call For Papers
International Workshop on Experimental Economics and Machine Learning (EEML)
In conjunction with ICFCA 2012 (6 - 10 May 2012, Leuven, Belgium)
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. In some experiments, human subjects are involved into an interaction with automated agents and these agents are used for simulating human interactions. 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. Moreover modern economics extensively involves network structures, which can be modeled as graphs or more complicated relational structures. Therefore relational machine learning is a potentially useful technique for the purposes of analyzing these new types of economic data. We hope that this workshop associated with the conference on Formal Concept Analysis and two related workshops will help to gather researchers from data analysis and economic communities and activate the power of algebraic and relational machine learning tools to gain the beneficial results.
• Economical Applications of Machine Learning
• Experimental Economics and Complex Networks
• Machine Learning for Social Sciences
• Human Behavior Modeling and Game Theory
• Economical Innovations and Data Mining
• Knowledge Discovery in Economics Domain
• Innovative applications of FCA in Economics
• Relational Machine Learning and Graph Mining
• Behavioral game theory
Rustam Tagiew, Mining Academy of Freiberg, Germany
Dmitry Ignatov, University - Higher School of Economics, Russia
Alexey Neznanov, University - Higher School of Economics, Russia
Jonas Poelmans, Katholieke Universiteit Leuven, Belgium
Program committee (to be extended and confirmed)
Guido Dedene, Katholieke Universiteit Leuven, Belgium
Stijn Viaene, Vlerick Leuven Management School, Katholieke Universiteit Leuven, Belgium
Simon Polovina, Sheffield Hallam University, United Kingdom
Simon Andrews, Sheffield Hallam University, United Kingdom
Sergei Obiedkov, University - Higher School of Economics, Russia
Paul Elzinga, Katholieke Universiteit Leuven Belgium, Amsterdam-Amstelland police Netherlands
Elvina Baiburina, University - Higher School of Economics, Russia
Xenia Naidenova, Military Medical Academy, Russia
Submission deadline: February 1, 2012
Revisions: March 13, 2012
Camera-ready copy: April 1, 2012
Proceedings: All accepted papers will be included in the workshop’s proceedings to be published by Katholieke Universiteit Leuven in a volume with ISBN. Also, the proceedings will be published online on the CEUR-Workshop web site. The best three papers submitted before ICFCA deadline of the workshop may be included in the main Springer volume associated with the conference.
Submission Procedure: Electronic version of full paper complete with authors’ affiliations should be submitted through the conference electronic submission system.
Use the submission link http://www.easychair.org/conferences/?conf=eeml2012.
Manuscripts must be prepared with LaTeX or Microsoft Office and should follow the Springer format available at http://www.springer.de/comp/lncs/authors.html.
The maximum number of accepted papers by an individual author that can be covered by the workshop’s registration charge is 3. The papers over 12 pages are not allowed.