Abstract
A model for inventing new signals is introduced in the context of sender-receiver games with reinforcement learning. If the invention parameter is set to zero, it reduces to basic Roth-Erev learning applied to acts rather than strategies, as in Argiento et al. (Stoch. Process. Appl. 119:373-390, 2009). If every act is uniformly reinforced in every state it reduces to the Chinese Restaurant Process-also known as the Hoppe-Pólya urn-applied to each act. The dynamics can move players from one signaling game to another during the learning process. Invention helps agents avoid pooling and partial pooling equilibria.
Original language | English (US) |
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Pages (from-to) | 129-145 |
Number of pages | 17 |
Journal | Dynamic Games and Applications |
Volume | 2 |
Issue number | 1 |
DOIs | |
State | Published - Nov 21 2012 |
Keywords
- Chinese Restaurant Process
- Hoppe-Pólya urn
- Invention
- Reinforcement
- Signals
ASJC Scopus subject areas
- Statistics and Probability
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
- Computational Theory and Mathematics
- Computational Mathematics
- Applied Mathematics