Experimental Economics and Machine Learning (workshop)
Материал из MachineLearning.
International Workshop on Experimental Economics and Machine Learning (EEML)
In conjunction with ICFCA 2012 (6 - 10 May 2012, Leuven, Belgium)
Содержание |
Общая информация
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.
Сайт конференции: [1]
Тематика конференции
- 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
- Ontologies for Economics
- Machine Learning for Crowdsourcing Technologies
Программный комитет
Руководители
- Rustam Tagiew, Mining Academy of Freiberg, Germany
- Dmitry Ignatov, National Research University - Higher School of Economics, Russia
- Alexey Neznanov, National Research University - Higher School of Economics, Russia
- Jonas Poelmans, Katholieke Universiteit Leuven, Belgium
Члены программного комитета
- Malay Bhattacharyya
- Irina Efimenko
- Boris Galitsky
- T.L. Hoang
- Mikhail Khachay
- Vladimir Khoroshevsky
- Vlado Menkovski
- Xenia Naidenova
- Jonas Poelmans
- Artem Revenko
- Nicola Vitucci
- Rostislav Yavorsky
- Leonid Zhukov
Важные даты
Submission deadline: February 1, 2012
Revisions: March 13, 2012
Camera-ready copy: April 1, 2012
Дата проведения уточняется. Один из дней с 6 по 10 мая.
Место проведения конференции
Левен, Бельгия
Как приехать на конференцию
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Требования к оформлению статей
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.
Материалы конференции
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machine 11:25, 24 декабря 2011 (MSK)
