Abstract
This paper presents an evolutionary approach to hypergame situation especially based on three-person hypergame. Our evolutionary approach could primarily deal with the learning problem in hypergame situation modeled as a network-type dynamic hypergame (NTDH game), which describes a social situation in which each agent perceives the situation autonomously and makes his decision solely based on an individually dependent model. In this paper NTDH game is simulated by applying genetic algorithm. Then the essential types of information to be required to improve each agent's perception of the situation are considered.
| Original language | English |
|---|---|
| Pages (from-to) | IV-254 - IV-259 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 4 |
| Publication status | Published - 1999 Dec 1 |
| Externally published | Yes |
| Event | 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn Duration: 1999 Oct 12 → 1999 Oct 15 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture