EEML 2016
Experimental Economics and Machine Learning

Table of Contents

• Preface
  
  

Keynote Talk

• What is a Fair Value of Your Recommendation List? 1-12
  Vladimir Bobrikov, Elena Nenova, Dmitry I. Ignatov

Regular Papers

• Choice of the Group Increases Intra-Cooperation 13-23
  Tatiana Babkina, Mikhail Myagkov, Evgeniya Lukinova, Anastasiya Peshkovskaya, Olga Menshikova, Elliot Berkman
• Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game 24-33
  Ilya Makarov, Peter Zyuzin, Pavel Polyakov, Mikhail Tokmakov, Olga Gerasimova, Ivan Guschenko-Cheverda, Maxim Uriev
• Studying of the Family Formation Trajectories Deinstitutionalization in Russia Using Sequence Analysis 34-47
  Ekaterina Mitrofanova, Alyona Artamonova
• QAIDS Model Based On Russian Pseudo-panel Data: Impact of 1998 and 2008 Crises 48-60
  Henry Penikas, Maria Ermolova
• Using Emotional Markers' Frequencies in Stock Market ARMAX-GARCH Model 61-72
  Alexander Porshnev, Valeriya Lakshina, Ilya Redkin
• Finding the Sweet Spot in the City: a Monopolistic Competition Approach 73-81
  Elizaveta Bespalova, Alim Moskalenko, Alexander Safin, Constantine Sorokin, Andrey Yagolkovsky
• Gift Ratios in Laboratory Experiments 82-93
  Rustam Tagiew, Dmitry I. Ignatov
• Churn Prediction for Game Industry Based on Cohort Classification Ensemble 94-100
  Evgenii Tsymbalov

Project proposals

• Scientific Portal of University Department -- Shaping User's Research Area through their Behavior 101-110
  Nataly Zhukova, Mikhail Navrotskiy
• Big Data and Machine Learning in E-government: Automatic Expert Evaluation Case 111-122
  Nikita Nikitinsky, Sergey Shashev, Polina Kachurina, Alexander Bespalov

Abstracts

• Small Differences in Experience Bring Large Differences in Performance 123-125
  Sheen S. Levine, Charlotte Reypens