TY - GEN
T1 - On transformation of conditional action planning to linear programming
AU - Galuszka, Adam
AU - Skrzypczyk, Krzysztof
AU - Ilewicz, Witold
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/13
Y1 - 2014/11/13
N2 - 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.
AB - 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.
KW - computional efficiency
KW - conditional planning
KW - linear programming
UR - https://www.scopus.com/pages/publications/84915749116
U2 - 10.1109/MMAR.2014.6957452
DO - 10.1109/MMAR.2014.6957452
M3 - Conference contribution
AN - SCOPUS:84915749116
T3 - 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014
SP - 764
EP - 769
BT - 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014
Y2 - 2 September 2014 through 5 September 2014
ER -