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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fox, M.J. Shamma, J.S. |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Electrical and Computer Engineering, College of Engineering, Georgia Institute of Technology, USA (Fox, M.J.; Shamma, J.S.) |
| Abstract | Stable games [1] have the attractive property of admitting global convergence to equilibria under many learning dynamics. We show that stable games can be formulated as passive input-output systems. This observation enables us to identify passivity of a learning dynamic as a sufficient condition for global convergence in stable games. Notably, dynamics satisfying our condition need not exhibit positive correlation between the payoffs and their directions of motion. Our condition is satisfied by the dynamics known to exhibit global convergence in stable games. We give a decision-theoretic interpretation for passive learning dynamics that mirrors the interpretation of stable games as strategic environments exhibiting self-defeating externalities. Lastly, we exploit the flexibility of the passivity condition to study the impact of applying various forecasting heuristics to the payoffs used in the learning process. |
| Starting Page | 7445 |
| Ending Page | 7450 |
| File Size | 303713 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467320658 |
| ISSN | 07431546 |
| e-ISBN | 9781467320665 |
| e-ISBN | 9781467320641 |
| DOI | 10.1109/CDC.2012.6426106 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Games Sociology Statistics Convergence Game theory Trajectory Dynamics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Modeling and Simulation |
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