| Type of Document |
Dissertation |
| Author |
Outkin, Alexander V.
|
| Author's Email Address |
outkin@vt.edu |
| URN |
etd-110498-170256 |
| Title |
Local Interactions, Learning and Automata Networks in Games |
| Degree |
PhD |
| Department |
Economics (Arts and Sciences) |
| Advisory Committee |
| Advisor Name |
Title |
| Haller, Hans H. |
Committee Co-Chair |
| Stegeman, Mark |
Committee Co-Chair |
| Gilles, Robert P. |
Committee Member |
| Kats, Amoz |
Committee Member |
| Snyder, Susan K. |
Committee Member |
|
| Keywords |
- automata networks
- learning
- evolution
- cooperation
|
| Date of Defense |
1998-09-13 |
| Availability |
unrestricted |
Abstract
This dissertation is an attempt of expanding the domain of game theory into the sphere of evolving, potentially non-equilibrium systems. We especially focus our attention on studying the effects of local interactions, using automata networks as a modelling tool.
The Chapters 2 and 3 of this dissertation concentrate on applications of the local nature of interactions and rely on automata networks as an investigating and modelling tool for game theory. Chapter 2 is devoted to cooperation and to a smaller extent to the endogenous formation of links between the agents. Chapter 3 is investigating the deterministic and stochastic best response play when interactions are local.
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