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Masterthesis: Opponent Models in Bilateral Negotiation
by Mark Hendrikx.
Literature Survey
The newest version can be found on the 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
Planning
The datas in the overview below refer to deadlines.
Validated all decoupled agents (13-01-12)
Study for exam (15-01-12 -> 03-02-12)
First version of short paper ACAN (18-02-12)
Finished ANAC2012 agent for qualification round (18-03-12)
- Finished Camera ready of short paper ACAN (13-04-12)
- Finished editing OM paper (20-04-12)
Abstract / Introduction (01-04-12)Preliminaries (03-04-12)OM in automated negotiation (05-04-12)OM Framework (07-04-12)Learning methods for opponent models- Learning of OM (12-04-12)
- Revise
IntroductionSection 1: Reservation valueSection 2: Negotiation deadline- Section 3: Issue Preference Order
- Section 4: Outcome Preference Order
- Section 5: Bidding Strategy
- Section 6: Acceptance Strategy
- Add new papers
- Short paper
- Long papers
- Revise
Use of OM (13-04-12)- Evaluating OM (14-04-12)
OM in ANAC (15-04-12)- Quality of OM in ANAC (18-04-12)
- Conclusion (20-04-12)
- ANAC competition
- Finished ANAC2012 agent for finals (07-05-12)
- Wrote paper (6 - 8 pages)
- Compare accuracy, convergence, and computational cost of existing models (05-05-12)
- Implement measurement methods per round
- 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
- Conference paper about results (30-05-12)
- Draft of masterthesis (10/06/12)
- Finish masterthesis (10/07/12)
Attachments (3)
- OM_lit.bib (25.4 KB ) - added by 13 years ago.
- OM_lit.2.bib (25.3 KB ) - added by 13 years ago.
- OM_lit.3.bib (25.0 KB ) - added by 13 years ago.
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