The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
We discuss what constitutes an integrated system in AI, and why AI researchers should be interested in building and studying them. Taking integrated systems to be ones that integr...
The degree to which a planner succeeds and meets response deadlines depends on the correctness and completenessof its modelswhichdescribe events and actions that change the world ...
Our project aims at the automatic generation of multilingual text for product maintenance and documentation from a structured knowledge representation formalized by means of plans...