There is a common unjustified belief that OSI management technology, despite being very powerful, is difficult to implement because of the complexity of the underlying service/prot...
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
As a first step in the larger project of charting the ontology of computer programs, we pose three central questions: (1) Can programs, hardware, and metaprograms be organized into...
Finite domain propagation solving, the basis of constraint programming (CP) solvers, allows building very high-level models of problems, and using highly specific inference encapsu...
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...