Much attention has been paid to the problem of optimally utilizing resources such as spectrum, power and time in order to achieve the best video delivery quality in wireless commu...
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...
— In this paper, we use the Markov Decision Process (MDP) technique to find the optimal code allocation policy in High-Speed Downlink Packet Access (HSDPA) networks. A discrete ...
Hussein Al-Zubaidy, Jerome Talim, Ioannis Lambadar...
This paper discusses decision making in the practically important situation where only partial prior information on the stochastic behavior of the states of nature expressed by im...
This paper proposes a new method for programming and controlling distributed tasks. Applications declare behavior patterns that are used to automatically predict and reserve resou...