The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
In this paper, we address the problem of symbolically computing the region in the parameter’s space that guarantees a feasible schedule, given a set of real-time tasks character...
A set of concurrent processes communicating through shared variables is an often used model for hardware systems. This paper presents three modeling techniques for representing su...
In this paper we present clustering method is very sensitive to the initial center values ,requirements on the data set too high, and cannot handle noisy data the proposal method ...
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...