A Knowledge-Based Approach to Planning with Incomplete Information and Sensing

  title={A Knowledge-Based Approach to Planning with Incomplete Information and Sensing},
  author={Ronald P. A. Petrick and Fahiem Bacchus},
In this paper we present a new approach to the problem of planning with incomplete information and sensing. Our approach is based on a higher level, “knowledge-based”, representation of the planner’s knowledge and of the domain actions. In particular, in our approach we use a set of formulas from a first-order modal logic of knowledge to represent the planner’s incomplete knowledge state. Actions are then represented as updates to this collection of formulas. Hence, actions are being modeled in… CONTINUE READING
Highly Influential
This paper has highly influenced 25 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 233 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
149 Extracted Citations
11 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 149 extracted citations

234 Citations

Citations per Year
Semantic Scholar estimates that this publication has 234 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…