The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Dynamic planning concerns the planning and execution of actions in a dynamic, real world environment. Its goal is to take into account changes generated by unpredicted events occur...
We present optimal solutions to the test scheduling problem for core-based systems. We show that test scheduling is equivalent to the m-processor open-shop scheduling problem and ...
Aspect-Oriented Programming (AOP) has been considered ing abstraction principle to reduce the problem of code tangling and make software structure clean and configurable. This pap...
Consistency management is an important requirement in many complex applications, but current programming languages and database systems provide inadequate support for it. To addre...