Inferring Implicit State Knowledge and Plans with Sensing Actions

  • Authors:
  • Michael Thielscher

  • Affiliations:
  • -

  • Venue:
  • KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
  • Year:
  • 2001

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Abstract

An effective method is presented for deriving state knowledge in the presence of sensing actions. It is shown how conditional plans can be inferred with the help of a generalized concept of plan skeletons as search heuristics, which allow the planner to introduce conditional branching points by need.