Dynamic Skeleton Based Wayfinding

نویسندگان

  • Hans W. Guesgen
  • Paul Shotbolt
چکیده

A system is proposed in which case-based reasoning principles are applied to the wayfinding problem for computer games. As case-based reasoning is thought to mimic aspects of human thinking, applying this methodology can provide more convincing non-player character behaviour. Additionally, knowledge re-use could provide performance gains through a reduction in redundant computation. Agents store a skeleton set of known paths and adapt these to solve new wayfinding problems. New solutions, along with paths obtained through communication with other agents, are reincorporated to create a dynamic, evolving case-base of skeleton paths.

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تاریخ انتشار 2004