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ICCBR
1997
Springer

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

9 years 7 months ago
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...
Michael T. Cox, Manuela M. Veloso
Added 08 Aug 2010
Updated 08 Aug 2010
Type Conference
Year 1997
Where ICCBR
Authors Michael T. Cox, Manuela M. Veloso
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