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» Probabilistic Analysis of Large Finite State Machines
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AAAI
2008
14 years 12 months ago
Optimal Metric Planning with State Sets in Automata Representation
This paper proposes an optimal approach to infinite-state action planning exploiting automata theory. State sets and actions are characterized by Presburger formulas and represent...
Björn Ulrich Borowsky, Stefan Edelkamp
PE
2000
Springer
118views Optimization» more  PE 2000»
14 years 9 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...
ICML
2006
IEEE
15 years 10 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
104
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AAAI
2008
14 years 12 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
ISLPED
1998
ACM
94views Hardware» more  ISLPED 1998»
15 years 1 months ago
Theoretical bounds for switching activity analysis in finite-state machines
- The objective of this paper is to provide lower and upper bounds for the switching activity on the state lines in Finite State Machines (FSMs). Using a Markov chain model for the...
Diana Marculescu, Radu Marculescu, Massoud Pedram