We develop a framework based on Bayesian model averaging to explain how animals cope with uncertainty about contingencies in classical conditioning experiments. Traditional accoun...
Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. ...
Project management involves various sources of uncertainty that affect planning, execution schedules, and cost. At the same time, the influx of information can be employed to redu...
Ivan Ourdev, Simaan M. AbouRizk, Mohammed Al-Batai...
An important problem in discrete-event stochastic simulation is the selection of the best system from a finite set of alternatives. There are many techniques for ranking and selec...
Research on coalition formation usually assumes the values of potential coalitions to be known with certainty. Furthermore, settings in which agents lack sufficient knowledge of ...
We present a method for representing and reasoning with uncertainty in RDF(S) and OWL ontologies based on Bayesian networks. Categories and Subject Descriptors: I.2.4 Artificial I...