Name
Abstract | ||
|---|---|---|
Enemy management in the game is one of the research hotspots in the field of game AI. Enemy attack management algorithms are especially important in action role-playing games, of which the main body is combat interaction. The paper proposes an enemy attack management algorithm suitable for action role-playing games. Traditional enemy attack management algorithms have many limitations in the process of game implementation with poor adaptability, which affects the player experience. The algorithm has high adaptability, which can avoid the problems above effectively. The goal of the algorithm is to provide an efficient and complete solution for the game designers to implement the enemy attack management system, shorten the development cycle, and then complete the game with appropriate game mechanism, art and music design. Finally, the extension, implementation and application effects of the algorithm are prospected. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-33506-9_28 | Lecture Notes in Networks and Systems |
Field | DocType | Volume |
Adaptability,Computer science,Algorithm,Adversary,Management system,Player experience,Role playing | Conference | 97 |
ISSN | Citations | PageRank |
2367-3370 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianhan Gao | 1 | 18 | 17.71 |
| Qingwei Mi | 2 | 0 | 0.34 |