Flexible strategy learning: analogical replay of problem solving episodes
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Advanced Planning Technology: Technological Achievements of the ARPA/Rome Laboratory Planning Inititive
Planning and Learning by Analogical Reasoning
Planning and Learning by Analogical Reasoning
Controlling for Unexpected Goals when Planning in a Mixed-Initiative Setting
EPIA '97 Proceedings of the 8th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
PRODIGY 4.0: The Manual and Tutorial
PRODIGY 4.0: The Manual and Tutorial
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Interactive Case-Based Planning for Forest Fire Management
Applied Intelligence
Conversational Case-Based Reasoning
Applied Intelligence
A Case-Based Framework for Interactive Capture and Reuse of Design Knowledge
Applied Intelligence
User Modeling and User-Adapted Interaction
Integrating Conversational Case Retrieval with generative Planning
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Using Guidelines to Constrain Interactive Case-Based HTN Planning
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Is CBR Applicable to the Coordination of Search and Rescue Operations? A Feasibility Study
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Conditional Constraint Networks for Interleaved Planning and Information Gathering
IEEE Intelligent Systems
The NExT System: Towards True Dynamic Adaptations of Semantic Web Service Compositions
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
SiN: integrating case-based reasoning with task decomposition
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Extracting performers' behaviors to annotate cases in a CBR system for musical tempo transformations
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
A formal model of mixed-initiative interaction in design exploration
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
CCBR–Driven business process evolution
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Automated adaptation of strategic guidance in multiagent coordination
PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
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Mixed-initiative planning envisions a framework in which automated and human planners interact to jointly construct plans that satisfy specific objectives. In this paper, we report on our work engineering a robust mixed-initiative planning system. Human planners rely strongly on past planning experience to generate new plans. ForMAT is a case-based system that supports human planning through the accumulation of user-built plans, query-driven browsing of past plans, and several plan functionality analysis primitives. Prodigy/Analogy is an automated AI planner that combines generative and case-based planning. Stored plans are annotated with plan rationale and reuse involves adaptation driven by this rationale. Our system, MI-CBP, integrates ForMAT and Prodigy/Analogy into a real-time message-passing mixed-initiative planning system. The main technical approach consists of allowing the user to specify and link objectives that enable the system to capture and reuse plan rationale. We present MI-CBP and its concrete application to the domain of military force deployment planning. This synergistic system increases the planning efficiency of human planners through automated suggestion of similar past plans and plausible plan modifications.