抄録
This paper presents a simulation approach to adaptation process of two interacting parties (or groups), each of which adopts learning behavior in hypergame situation. That is, we try to clarify which learning behavior facilitates the adaptation process to convergence on equilibria of the traditional game situation (TGS), and facilitates each agent to learn the equilibria correctly. First, we define the hypergame situation, in which each agent is assumed to have only internal model of the situation. Then, we develop adaptation process model of the groups, and a simulation of the process. In the model, genetic algorithm (GA) has role to improve population of perceptions according to the past experiences. Finally, we point out that by examining the simulation results, action choice and perception evaluation based on subjective Nash equilibria are critical to the performance of the adaptation process, in the situations with one or more TGS Nash equilibria.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| 出版者 | IEEE |
| 巻 | 4 |
| 出版物ステータス | Published - 1999 |
| 外部発表 | Yes |
| イベント | 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn 継続期間: 1999 10 12 → 1999 10 15 |
Other
| Other | 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' |
|---|---|
| 市 | Tokyo, Jpn |
| 期間 | 99/10/12 → 99/10/15 |
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ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering
これを引用
Simulation approach to learning problem in hypergame situation by genetic algorithm. / Putro, Utomo Sarjono; Kijima, Kyoichi; Takahashi, Shingo.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. 巻 4 IEEE, 1999.研究成果: Conference contribution
}
TY - GEN
T1 - Simulation approach to learning problem in hypergame situation by genetic algorithm
AU - Putro, Utomo Sarjono
AU - Kijima, Kyoichi
AU - Takahashi, Shingo
PY - 1999
Y1 - 1999
N2 - This paper presents a simulation approach to adaptation process of two interacting parties (or groups), each of which adopts learning behavior in hypergame situation. That is, we try to clarify which learning behavior facilitates the adaptation process to convergence on equilibria of the traditional game situation (TGS), and facilitates each agent to learn the equilibria correctly. First, we define the hypergame situation, in which each agent is assumed to have only internal model of the situation. Then, we develop adaptation process model of the groups, and a simulation of the process. In the model, genetic algorithm (GA) has role to improve population of perceptions according to the past experiences. Finally, we point out that by examining the simulation results, action choice and perception evaluation based on subjective Nash equilibria are critical to the performance of the adaptation process, in the situations with one or more TGS Nash equilibria.
AB - This paper presents a simulation approach to adaptation process of two interacting parties (or groups), each of which adopts learning behavior in hypergame situation. That is, we try to clarify which learning behavior facilitates the adaptation process to convergence on equilibria of the traditional game situation (TGS), and facilitates each agent to learn the equilibria correctly. First, we define the hypergame situation, in which each agent is assumed to have only internal model of the situation. Then, we develop adaptation process model of the groups, and a simulation of the process. In the model, genetic algorithm (GA) has role to improve population of perceptions according to the past experiences. Finally, we point out that by examining the simulation results, action choice and perception evaluation based on subjective Nash equilibria are critical to the performance of the adaptation process, in the situations with one or more TGS Nash equilibria.
UR - http://www.scopus.com/inward/record.url?scp=0033349832&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033349832&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0033349832
VL - 4
BT - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
PB - IEEE
ER -