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Issue No. 02 - March/April (2005 vol. 20)
ISSN: 1541-1672
pp: 25-33
Jos? Luis Ambite , University of Southern California, Information Sciences Institute
Craig A. Knoblock , University of Southern California, Information Sciences Institute
Maria Muslea , University of Southern California, Information Sciences Institute
Steven Minton , Fetch Technologies
Harnessing the increasing amount of information available through public and private networks to inform decision making presents a considerable challenge. There is a critical need for a system that integrates and structures diverse information to support user tasks and goals. The system must focus on the relevant information, evaluate trade-offs, and suggest courses of action to the user. Because we cannot ensure that the system can ever capture all information and preferences, planning should be conducted in a mixed-initiative fashion where the user can explore alternatives and override the system suggestions as needed. Heracles II is a constraint-based framework for interactive planning and information gathering. Two contributions of Heracles II address the limitations of previous work. The first is a hierarchically partitioned conditional-constraint-network representation that models the task structure of the application domain. The second is a constraint propagation algorithm that supports flexible user interaction. Heracles II is fully implemented and has been applied to several practical domains such as travel planning and geospatial-information integration.
mixed-initiative planning, data integration, conditional constraint satisfaction, hierarchical planning

M. Muslea, J. L. Ambite, S. Minton and C. A. Knoblock, "Conditional Constraint Networks for Interleaved Planning and Information Gathering," in IEEE Intelligent Systems, vol. 20, no. , pp. 25-33, 2005.
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