RESEARCH INTEREST

  • Game Theory
  • Multiagent Systems
  • Machine Learning

PUBLICATIONS

  • "Moral Values from Simple Game Play", Eunkyung Kim, Ravi Iyer, Jesse Graham, Yu-Han Chang and Rajiv Maheswaran, The 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP'13), Apr 2013. [PDF]
  • "Adaptive Negotiating Agents in Dynamic Games: Outperforming Human Behavior in Diverse Societies", Eunkyung Kim, Luyan Chi, Yu Ning, Yu-Han Chang and Rajiv Maheswaran, The Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS'12), Jun 2012. (short paper) [PDF]
  • "Dynamics of Social Interactions in a Network Game", Eunkyung Kim, Luyan Chi, Yu-Han Chang and Rajiv Maheswaran, The Third IEEE International Conference on Social Computing (SocialCom'11), Oct 2011. [PDF]

PROJECT

  • MICE (Modeling Interaction in Cooperative-competitive Environments)
    This project seeks to create data-driven, population-specific models of human behavior by learning these models from large amounts of detailed game data collected from multi-player online games such as the Social Ultimatum Game. Combining statistical machine learning methods with large-scale behavioral data sources will enable the creation of a new class of well-grounded, belief-based probabilistic human behavior models.

SKILLS

  • Languages : Java, SQL, C, C++, Pro*C, UNIX Shell, Matlab, LaTeX and HTML
  • Operating System: Unix, Linux, Mac and Windows
  • Database System: Oracle DBMS
Last updated: Jan. 29, 2013