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AAAI
2000
13 years 9 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
WM
2003
13 years 9 months ago
Knowledge discovery methods
: Coping with complex and dynamic environments forces companies to invest in the resource knowledge for the maintenance of their operational reliability; they have to create and to...
Stefan Smolnik
AAAI
1997
13 years 9 months ago
Intelligent Agents for the Synthetic Battlefield: A Company of Rotary Wing Aircraft
1 We have constructed a team of intelligent agents that perform the tasks of an attack helicopter company for a synthetic battlefield environment used for running largescale milita...
Randall W. Hill Jr., Johnny Chen, Jonathan Gratch,...
IJCAI
1997
13 years 9 months ago
Object Identification in a Bayesian Context
Object identification—the task of deciding that two observed objects are in fact one and the same object—is a fundamental requirement for any situated agent that reasons about...
Timothy Huang, Stuart J. Russell
ISMB
1994
13 years 9 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya