Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
This paper examines the investment behaviour of an incumbent and a potential entrant that are competing for a patent with a stochastic payo . We incorporate asymmetric information...
In some situations, a decision is best represented by an incompletely analyzed act: conditionally to a certain event, the consequences of the decision on sub-events are perfectly ...
We consider the Courier Delivery Problem, a variant of the Vehicle Routing Problem with time windows in which customers appear probabilistically and their service times are uncert...
We study the effects of demand uncertainty on optimal decisions and the expected profit of a pricesetting newsvendor who faces either additive or multiplicative stochastic demand....