TitleTowards research on goal reasoning with the TAO Sandbox
Publication TypeReport
Year of Publication2009
AuthorsAuslander, B, Molineaux, M, Aha, DW
Document NumberAIC-09-155
InstitutionNaval Research Laboratory, Navy Center for Applied Research on Artificial Intelligence
CityWashington, DC
TypeNCARAI Technical Note
Keywordsgame AI, Intelligent agents, Navy training simulation, testbed
Abstract

We describe our progress on instrumenting a Navy software simulator for use in the context of intelligent agent research. The Tactical Action Officer (TAO) Sandbox, which is being developed at the University of Southern California, is used by officers to practice tactical decision making in the context of Navy surface fleet missions. NRL and Knexus Research Corporation have integrated this simulator with intelligent agents using the Lightweight Integration and Evaluation Testbed (LIET), thus permitting the agent to play the role of a trainee. This will permit us to use the TAO Sandbox in our artificial intelligence research, where we are currently focusing on algorithms for continuous planning that can dynamically reason about what goal should be pursued at any time during a mission. This paper briefly descibes our motivation for this integration, project status involving this simulator, and future goals.

Refereed DesignationNon-Refereed
Full Text
NRL Publication Release Number: 
09-1226-3592
pub_tags: 
Intelligent agents
testbed
Navy training simulation
game AI