Title :
How qualitative spatial reasoning can improve strategy game AIs
Author :
Forbus, Kenneth D. ; Mahoney, James V. ; Dill, Kevin
Author_Institution :
Northwestern Univ., Evanston, IL, USA
Abstract :
Spatial reasoning is a major challenge for strategy-game artificial intelligence systems. Qualitative spatial reasoning techniques can help overcome this challenge by providing more expressive spatial representations, better communication of intent, better path-finding and reusable strategy libraries.
Keywords :
common-sense reasoning; computer games; explanation; games of skill; path planning; software libraries; spatial reasoning; expressive spatial representations; intent communication; path finding; qualitative spatial reasoning; reusable strategy libraries; strategy-game artificial intelligence systems; Artificial intelligence; Cities and towns; Costs; Engines; Game theory; Geography; Libraries; Mechanical systems; Organizing; Software quality;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2002.1024748
