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Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals
Reconstruction of the tridimensional geometry of a visual scene using the binocular disparity information is an important issue in computer vision and mobile robotics, which can be formulated as a Bayesian inference problem.
Toward Biochemical Probabilistic Computation
Indeed, Bayesian inference is a way to do optimal reasoning when only uncertain and incomplete information is available.
Decision Making under Uncertainty: A Quasimetric Approach
Schematically, two main approaches have been followed: either the agent learns which option is the correct one to choose in a given situation by trial and error, or the agent already has some knowledge on the possible consequences of his decisions; this knowledge being generally expressed as a conditional probability distribution.
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