Name
Abstract | ||
|---|---|---|
In action games, the computer's behavior lacks diversity and human players are able to learn how the computer behaves by playing the same game over and over again. As a result, human players eventually grow tired of the game. Therefore, this paper proposes a method of imitating the behavior of human players by creating profiles of players from their play data. By imitating what many different players do, a greater variety of actions can be created. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11872320_44 | ICEC |
Keywords | Field | DocType |
play data,greater variety,human player,action game,different player | Simultaneous game,Video game design,Computer science,Entertainment,Game theory,Non-cooperative game,Multimedia | Conference |
Volume | ISSN | ISBN |
4161 | 0302-9743 | 3-540-45259-1 |
Citations | PageRank | References |
1 | 0.38 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Atsushi Nakano | 1 | 1 | 0.38 |
| Akihito Tanaka | 2 | 1 | 0.38 |
| Junichi Hoshino | 3 | 181 | 47.34 |