Causation is defined recursively: event e is the cause of condition φ in context c iff e is the only sufficient cause of φ in c, and removing e from c either removes φ from c...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
We are interestedin a newclassof optimal control problemsfor DiscreteEvent Systems (DES). Weadopt theformalismof supervisorycontrol theory 10] andmodel thesystemas a nitestatemach...
This paper advocates the use of a formal framework for analyzing simulation performance. Simulation performance is characterized based on the three simulation development process ...