Name
Abstract | ||
|---|---|---|
In this paper, we deal with a network formation model where the utility of a player depends not only on the benefit from a network but also on the social reputation of the player. In the model, we examine the stability of networks and show the diversity of structures of the stable networks. Moreover, to complement the theoretical consideration, we perform simulation experiments for analysing the network formation. To do so, we develop a simulation system with artificial adaptive agents with a mechanism for decision making and learning based on neural networks and genetic algorithms. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1504/IJKESDP.2010.037495 | IJKESDP |
Keywords | Field | DocType |
network formation,simulation system,network formation model,simulation experiment,neural network,genetic algorithm,theoretical consideration,social reputation,artificial adaptive agent,theoretical model,simulation analysis,stable network,neural networks,genetic algorithms,multi agent systems | Network formation,Organizational network analysis,Agent-based social simulation,Network simulation,Multi-agent system,Artificial intelligence,Artificial neural network,Genetic algorithm,Machine learning,Mathematics,Reputation | Journal |
Volume | Issue | Citations |
2 | 4 | 1 |
PageRank | References | Authors |
0.43 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomohiro Hayashida | 1 | 29 | 11.56 |
| Ichiro Nishizaki | 2 | 443 | 42.37 |
| Hideki Katagiri | 3 | 436 | 46.48 |