= Masterthesis: Opponent Models in Bilateral Negotiation =
by Mark Hendrikx.

== Literature Survey ==
The newst version can be found on the [https://mmi.tudelft.nl/svn/timb/Opponent%20Models%20Survey SVN repository]

== Main Research Questions ==
 * How to measure the quality of opponent models?
 * Are agents using opponent models "better" than other agents?
 * How do opponent models compare regarding accuracy, convergence, and computational cost?
 * How to create an opponent model which is better than the state-of-the-art?

== Meeting ==
[http://mmi.tudelft.nl/trac/negotiation/wiki/MeetingMinutes Meeting agendas and minutes]

== Planning ==
 * Validated all decoupled agents (13-01-12)

 * Quantified the benefits of using a perfect model (07-02-12)

 * Finished editing OM paper (15-02-12)
   * Abstract / Introduction (08-01-12)
   * Preliminaries (09-01-12)
   * OM in automated negotiation (10-01-12)
   * OM Framework (11-01-12)
   * Learning of OM (07-02-12)
   * Use of OM (09-02-12)
   * Evaluating OM (10-02-12)
   * OM in ANAC (11-02-12)
   * Quality of OM in ANAC (13-02-12)
   * Conclusion (15-02-12)

 * First version of short paper ACAN (15-02-12)

 * Finished ANAC2012 agent (18-03-12)

 * Compare accuracy, convergence, and computational cost of existing models
   * Implement measurement methods
   * Create testsetup
   * Analyze data

 * Create a model which is beter than the state of the art
   * Improve frequency model by dynamic learning rate
   * Improve Bayesian model by improving decision function assumption

 * Draft of masterthesis (10/06/12)

 * Finish masterthesis (10/07/12)