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. ...
Agent-based simulation is increasingly used to study systems in many areas of business and science. Using agentbased simulation for prediction could be very valuable. However, the...
Many architecture–based software reliability models were proposed in the past. Regardless of the accuracy of these models, if a considerable uncertainty exists in the estimates ...
The distance between nodes in a wireless sensor network (WSN) is an important factor in the performance that can be extracted from the network for many tasks. However, the distanc...
This research investigates the problem of robust static resource allocation for distributed computing systems operating under imposed Quality of Service (QoS) constraints. Often, ...
Vladimir Shestak, Jay Smith, Anthony A. Maciejewsk...