Agents as Tools for Solving Complex Control Problems
Modern control systems must cope with significant degrees of uncertainty, as well as with more dynamic environments, and to provide greater flexibility. This complexity requires to employ the efficacy of the agent-oriented software engineering approach. Agents and multiagent systems are becoming a new way to analyze, design and implement complex software systems, since the focus of an agent-based approach is on goals, tasks, communication and coordination. The aim of this paper is to present agents as tools that enhance the design for solving complex control problems. In this paper, we will argue that analyzing, designing, and implementing control complex software systems as a collection of interacting, autonomous, flexible components (i.e., as agents) affords software engineers several significant advantages over contemporary methods. A case study in the domain of control process is treated where the experiences of using an agent-based approach is assessed. A case study will be given to demonstrate this design method. Our purpose is to design a power intelligent management system that is able to fulfill the user comfort and minimize the consumption of the fuel of the generator. It is based on the concepts of an agent and a multi-agent systemhere.
