Coevolution of Artificial Agents Using Evolutionary Computation in Bargaining Game
Author
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Analysis of bargaining game using evolutionary computation is essential issue in the field of game theory.
This paper investigates the interaction and coevolutionary process among heterogeneous artificial agents using evolutionary computation (EC) in the bargaining game.
In particular, the game performance with regard to payoff through the interaction and coevolution of agents is studied.
We present three kinds of EC based agents (EC-agent) participating in the bargaining game: genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE).
The agents’ performance with regard to changing condition is compared.
From the simulation results it is found that the PSO-agent is superior to the other agents.
American Psychological Association (APA)
Lee, Sangwook. 2015. Coevolution of Artificial Agents Using Evolutionary Computation in Bargaining Game. Advances in Multimedia،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1052640
Modern Language Association (MLA)
Lee, Sangwook. Coevolution of Artificial Agents Using Evolutionary Computation in Bargaining Game. Advances in Multimedia No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1052640
American Medical Association (AMA)
Lee, Sangwook. Coevolution of Artificial Agents Using Evolutionary Computation in Bargaining Game. Advances in Multimedia. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1052640
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052640