Building Explainable Artificial Intelligence Systems
Mark G. Core, H. Chad Lane, Michael van Lent, Dave Gomboc, Steve Solomon, Milton Rosenberg · 2006
As artificial intelligence (AI) systems and behavior models in military simulations become increasingly complex, it has been difficult for users to understand the activities of computer-controlled entities. Prototype ex-planation systems have been added to simulators, but designers have not heeded the lessons learned from work in explaining expert system behavior. These new explanation systems are not modular and not portable; they are tied to a particular AI system. In this paper, we present a modular and generic architecture for ex-plaining the behavior of simulated entities. We describe its application to the Virtual Humans, a simulation de-signed to teach soft skills such as negotiation and cul-tural awareness.