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AAAI
1997
15 years 7 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
AAAI
1997
15 years 7 months ago
Models of Continual Computation
Automated problem solving is viewed typically as the expenditure of computation to solve one or more problems passed to a reasoning system. In response to each problem received, e...
Eric Horvitz
AAAI
1997
15 years 7 months ago
Combining Approximate Front End Signal Processing with Selective Reprocessing in Auditory Perception
When dealing with signals from complex environments, where multiple time-dependent signal signatures can interfere with each other in stochastically unpredictable ways, traditiona...
Frank Klassner, Victor R. Lesser, Hamid Nawab
AAAI
1997
15 years 7 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
AAAI
1994
15 years 7 months ago
Forming Beliefs about a Changing World
The situation calculus is a popular technique for reasoning about action and change. However, its restriction to a firstorder syntax and pure deductive reasoning makes it unsuitab...
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...