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  • 标题:xTrek: An Influence-Aware Technique for Dijkstra’s and A Pathfinders
  • 本地全文:下载
  • 作者:Gonçalo P. Amador ; Abel J. P. Gomes
  • 期刊名称:International Journal of Computer Games Technology
  • 印刷版ISSN:1687-7047
  • 电子版ISSN:1687-7055
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/5184605
  • 出版社:Hindawi Publishing Corporation
  • 摘要:We propose a new pathfinding technique called xTrek that combines conventional pathfinding and influence fields; that is, we are introducing a new influence-sensitive pathfinder or influence-aware pathfinder. The leading idea of influence-aware pathfinding is to avoid unwanted regions and/or converge to desired regions of the search space during the path search. As shown throughout the paper, this region avoidance/convergence is more striking using our technique than in other field-aware pathfinders as, for example, risk-adverse pathfinders and constraint-aware navigation pathfinders. Furthermore, our technique constrains the search space even more than such state-of-the-art influence-aware pathfinders, aiming to reduce the memory space consumption, to speed up pathfinding computations, and at the same time to have better control on the paths to be discovered.
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