Network formation and social reputation: a theoretical model and simulation analysis

Authors:
Tomohiro Hayashida;Ichiro Nishizaki;Hideki Katagiri
Affiliations:
Faculty of Engineering, Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8527, Japan.;Faculty of Engineering, Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8527, Japan.;Faculty of Engineering, Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8527, Japan
Venue:
International Journal of Knowledge Engineering and Soft Data Paradigms
Year:
2010

Citing 2
Cited 0

Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Simulation Analysis Using Multi-Agent Systems for Social Norms

Computational Economics

Quantified Score

Hi-index	0.00

Visualization

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.