Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Toward the holodeck: integrating graphics, sound, character and story
Proceedings of the fifth international conference on Autonomous agents
Toward conversational human-computer interaction
AI Magazine
IEEE Intelligent Systems
Toward a New Generation of Virtual Humans for Interactive Experiences
IEEE Intelligent Systems
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
Extending Planning Graphs to an ADL Subset
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
Plan-Refinement Strategies and Search-Space Size
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
The FF planning system: fast plan generation through heuristic search
Journal of Artificial Intelligence Research
Integrating Planning and Dialogue in a Lifestyle Agent
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Service-Oriented data and process models for personalization and collaboration in e-business
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
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This article introduces a novel approach to the problem of collaborative planning. We present a method that takes classical one-shot planning techniques - that take a fixed set of goals, initial state, and a domain theory - and adapts them to support the incremental, hierarchical and exploratory nature of collaborative planning that occurs between human planners, and that multi-agent planning systems attempt to support. This approach is planner-independent - in that it could be applied to any classical planning technique - and recasts the problem of collaborative planning as a search through a space of possible inputs to a classical planning system. This article outlines the technique and describes its application to the Mission Rehearsal Exercise, a multi-agent training system.