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2013
Conference Paper
Title

Pathfinding in games

Abstract
Commercial games can be an excellent testbed to artificial intelligence (AI) research, being a middle ground between synthetic, highly abstracted academic benchmarks, and more intricate problems from real life. Among the many AI techniques and problems relevant to games, such as learning, planning, and natural language processing, pathfinding stands out as one of the most common applications of AI research to games. In this document we survey recent work in pathfinding in games. Then we identify some challenges and potential directions for future work. This chapter summarizes the discussions held in the pathfinding workgroup.
Author(s)
Botea, Adi
Bouzy, Bruno
Buro, Michael
Bauckhage, Christian  
Nau, Dana
Mainwork
Artificial and Computational Intelligence in Games  
Conference
Dagstuhl Seminar "Artificial and Computational Intelligence in Games" 2012  
DOI
10.4230/DFU.Vol6.12191.21
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • AI

  • Games

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