Name
Abstract | ||
|---|---|---|
One of the limitations of computer opponents in action games is that the character AI is constructed in advance, and players may become bored quickly. We have built an online action game system in which a non-player character (NPC) can incrementally learn sequences of action and combinations. NPCs can adopt different fighting strategies for fighting with different players. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04052-8_51 | ICEC |
Keywords | Field | DocType |
online action game system,action game,non-player character,different fighting strategy,character ai,computer opponent,different player,incremental learning algorithm | Simultaneous game,Non-player character,Computer science,Action learning,Repeated game,Artificial intelligence,Incremental learning algorithm,Sequential game,Non-cooperative game,Imitation learning | Conference |
Volume | ISSN | Citations |
5709 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junichi Hoshino | 1 | 181 | 47.34 |
| Hiroshi Mori | 2 | 12 | 4.52 |