Scott B. Hunter
It is known that, in general, the point along the purely-reactive/classical-planning axis of the controller spectrum that is most appropriate for a particular environment/task (E/T) p air will be determined by characteristics of the environment, the agent’s perceptual and effectual capabilities, and the task. Instead of proposing another hybrid architecture, we want to determine criteria for determining which architectural compromise is best suited for a given E/T. Our goal is to understand relationships between E/T pairs and the agent architecture, so that we can predict the performance of the architecture under parametric variations of the environment and/or the architecture. This is a first step toward constructing methods for automatic synthesis of agents as in (Ros89).