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On transformation of conditional action planning to linear programming

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Planning in Artificial Intelligence is a problem of finding a sequence of actions that transform given initial state of the problem to desired goal situation. In this work we consider computational difficulty of so called conditional planning. Conditional planning is a problem of searching for plans that depend on sensory information and succeed no matter which of the possible initial states the world was actually in. Finding a plan of such problems is computationally difficult. To avoid this difficulty a transformation to Linear Programming Problem, illustrated by an example, is proposed.

Original languageEnglish
Title of host publication2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages764-769
Number of pages6
ISBN (Electronic)9781479950812
DOIs
Publication statusPublished - 13 Nov 2014
Event2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014 - Miedzyzdroje, Poland
Duration: 2 Sept 20145 Sept 2014

Publication series

Name2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014

Conference

Conference2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014
Country/TerritoryPoland
CityMiedzyzdroje
Period2/09/145/09/14

Keywords

  • computional efficiency
  • conditional planning
  • linear programming

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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