Testbed Architecture Methodology for Planning Applications

Jim Aragones

Applications of AI planning techniques, such as intelligent wargaming, require a methodology for developing the system and generating domain knowledge. A testbed architecture consists of simulator suite, reasoning engines, and well-defined interfaces developed to facilitate the eventual deployment of the AI system. In addition, human and system level interface issues will be discussed.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.