We propose to develop an Action Languages which allows for the representation of time and time dependent processes and which allows for the valid composition of modules. Furthermore, we will develop a provably correct translation from the Action Language into Logic Programs under the Answer Set Semantics. Action Languages have already proven useful for the representation of intelligent agent that can perform planning and diagnosis. Our proposed work would allow for more robust agents as well as the ability to do tasks such as scheduling. We will also develop proof techniques to ensure correctness of the agents. We propose to support control systems developed for such agents in distributed real-time systems with a dynamic, on-line, verification of the system behavior with respect to time-based properties.