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- W2977807468 abstract "Designing automatic path-finding algorithm is a focus in the field of artificial intelligence research for computer game non-player character( NPC). And with the diversification of game environment,the NPC can't just consider only path length in the path plan,which is obviously not satisfying the need of real game path-finding. The actual game path-finding needs access the compromise optimal path satisfied multiple target,which closes to artificial selection results. The paper described and analyzed a new path-finding method based on cost vector,which called it MOVA*algorithm,to search the intelligent path in multi-objective map. Through the experiments,the new method had incomparable advantages in real-time and accuracy compared with the traditional multi-objective methods. At last it acquires the conclusion that the new multi-objective path-finding method suits for searching more intelligent path for video game non-player characters." @default.
- W2977807468 created "2019-10-10" @default.
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- W2977807468 date "2014-01-01" @default.
- W2977807468 modified "2023-09-23" @default.
- W2977807468 title "Pathfinding using new multi-objective A~* for video game NPC" @default.
- W2977807468 hasPublicationYear "2014" @default.
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