Name
Title | ||
|---|---|---|
Agent-based simulation for equilibrium selection and coordination failure in minimum strategy coordination games |
Abstract | ||
|---|---|---|
In this paper, to analyze equilibrium selection and coordination failure in coordination games, we develop an agent-based simulation system in which artificial adaptive agents have a mechanism of decision making and learning based on neural networks and genetic algorithms. Using the simulation system, we examine the strategy choices of agents and formation of equilibria in the steady state, and compare the experimental result given by Van Huyck et al. (1990) with our simulation result. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-22000-5_28 | KES-AMSTA |
Keywords | Field | DocType |
coordination failure,coordination game,simulation system,agent-based simulation,neural network,agent-based simulation system,minimum strategy coordination game,genetic algorithm,artificial adaptive agent,simulation result,equilibrium selection | Coordination game,Simulation system,Computer science,Artificial intelligence,Steady state,Adaptive agents,Artificial neural network,Genetic algorithm,Coordination failure,Mathematical optimization,Simulation,Equilibrium selection,Machine learning | Conference |
Volume | ISSN | Citations |
6682 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ichiro Nishizaki | 1 | 443 | 42.37 |
| Tomohiro Hayashida | 2 | 29 | 11.56 |
| Noriyuki Hara | 3 | 0 | 0.68 |