Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning

Realistic and complex planning situations require a mixed-initiative planning framework in which human and automated planners interact to mutually construct a desired plan. Ideally, this joint cooperation has the potential of achieving better plans than either the human or the machine can create alone. Human planners often take a case-based approach to planning, relying on their past experience and planning by retrieving and adapting past planning cases. Planning by analogical reasoning in which generative and case-based planning are combined, as in Prodigy/Analogy, provides a suitable framework to study this mixed-initiative integration. However, having a human user engaged in this planning loop creates a variety of new research questions. The challenges we found creating a mixed-initiative planning system fall into three categories: planning paradigms differ in human and machine planning; visualization of the plan and planning process is a complex, but necessary task; and human users...

• Type: Conference
• Year: 1997
• Where: ICCBR
• Authors: Michael T. Cox, Manuela M. Veloso
• Keywords: Automated Reasoning, Human, ICCBR 1997, Mixed-initiative Planning, Planning