Abstract:
This paper presents a mixed-initiative assistant that helps a subject matter expert to express the way she solves problems in the task reduction paradigm. It guides the expert to follow a predefined modeling methodology, supports the expert to express her reasoning by using natural language with references to the objects from the agent’s ontology, and helps her in the process of specifying solutions to new problems by analogy with previously solved problems. The assistant, which is integrated into the Disciple system for agents development, has been successfully evaluated by subject matter experts at the US Army War College.