Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
In this paper we consider the problem of theory patching, in which we are given a domain theory, some of whose components are indicated to be possibly awed, and a set of labeled t...
We investigate whether asynchronous computational models and asynchronous algorithms can be considered for designing real-time distributed fault-tolerant systems. A priori, the lac...
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
—The traditional formulation of the total value of information transfer is a multi-commodity flow problem. Here, each data source is seen as generating a commodity along a fixe...