Name
Abstract | ||
|---|---|---|
This study selected the real-time variety of strategy simulation games, i.e. real-time strategy (RTS) games, in which AI is used in tactics, unit production, reinforcement, combat, and other aspects. In RTS games, assignment and distribution of units in the battlefield are critical because they determine the survival of units and the victory or defeat of the player. In a game between a player and NPC, because the NPCs follow pre-determined algorithms, the player is able to follow the patterns of the opponent. Designing smart NPC behavior that prevents players from easily figuring out the pre-determined logic and challenges the strategies of the players is a potentially rewarding subject for research. By applying fuzzy logic to games and non-player characters' (NPC) judgment and interaction with players, players face more variations and challenges in the game, thereby impedes players from gaining insight to the game logic and increasing the fun of a game. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-48499-0_23 | INTELLIGENT DATA ANALYSIS AND APPLICATIONS, (ECC 2016) |
Keywords | Field | DocType |
Real-time strategy (RTS),Game AI,Fuzzy system | Real-time strategy,Battlefield,Software deployment,Computer science,Fuzzy logic,Artificial intelligence,Victory,Adversary,Fuzzy control system,Machine learning | Conference |
Volume | ISSN | Citations |
535 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cheng-ta Yang | 1 | 33 | 6.38 |
| Bing-Chang Chen | 2 | 53 | 3.63 |
| Her-Tyan Yeh | 3 | 78 | 7.63 |
| Guo-Xiang Jian | 4 | 0 | 0.34 |