As agent technology becomes more wide-spread, the need for agent-based analysis and design methods and tools will keep growing. An agent, which is an autonomous entity that acts on behalf of the user, has different properties than objects. For example, objects are passive entities that react to external stimuli, but do not exhibit goal directed behavior. On the other hand, agents are active entities that may learn about their environment and react to changes. Because of such crucial differences between objects and agents, object-oriented analysis and design methods cannot accommodate the requirements of engineering agent-based systems. Agents, however, can learn a few things from object-oriented analysis and design. In this paper, we present the Agent Views approach for applying the Model View Controller (MVC) design pattern in designing agent-based systems. This approach will help software developers use a familiar design pattern to determine the types of agents needed to build successful agent-based systems.