Name
Title | ||
|---|---|---|
Agent-Based Simulation Analysis for Equilibrium Selection and Coordination Failure in Coordination Games Characterized by the Minimum Strategy |
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 VanHuyck et al. (1990) with our simulation result.
|
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-01665-3_63 | Transactions on Computational Collective Intelligence IX |
Keywords | Field | DocType |
coordination failure,neural network,agent-based simulation system,genetic algorithm,agent-based simulation,simulation result,artificial adaptive agent,coordination games,minimum strategy,agent-based simulation analysis,simulation system,coordination game,equilibrium selection,adaptive agents.,steady state | Coordination failure,Coordination game,Simulation system,Computer science,Equilibrium selection,Artificial intelligence,Steady state,Adaptive agents,Artificial neural network,Genetic algorithm | Journal |
Volume | ISSN | Citations |
9 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ichiro Nishizaki | 1 | 443 | 42.37 |
| Tomohiro Hayashida | 2 | 29 | 11.56 |
| Hideki Katagiri | 3 | 436 | 46.48 |
| Noriyuki Hara | 4 | 0 | 0.68 |