TY - GEN
T1 - Semi-reactive planner based on a possible models action formalization
AU - Thiebaux, Sylvie
AU - Hertzberg, Joachim
PY - 1992
Y1 - 1992
N2 - We describe the basics of a semi-reactive planner that is based on a possible models action formalization. By semi-reactive planner, we mean a planning system that is able to incrementally generate plans in a classical way, thereby extending, when necessary, the compiled knowledge available for reactive execution. The action formalization, which is a correction of the possible worlds approach by Ginsberg and Smith, allows one to cope with lacking information, ambiguity and context dependency in the planning domain by considering different courses of action. This enables the planner to handle certain forms of uncertainty at planning time. Plans developed under this model are complied into finite state automata for execution, as a basis for reacting to less expected effects at execution time. Moreover, we explain how replanning fits into the framework, thereby opening it towards handling unexpected effects which occur during plan execution, and for which no reaction plan is available.
AB - We describe the basics of a semi-reactive planner that is based on a possible models action formalization. By semi-reactive planner, we mean a planning system that is able to incrementally generate plans in a classical way, thereby extending, when necessary, the compiled knowledge available for reactive execution. The action formalization, which is a correction of the possible worlds approach by Ginsberg and Smith, allows one to cope with lacking information, ambiguity and context dependency in the planning domain by considering different courses of action. This enables the planner to handle certain forms of uncertainty at planning time. Plans developed under this model are complied into finite state automata for execution, as a basis for reacting to less expected effects at execution time. Moreover, we explain how replanning fits into the framework, thereby opening it towards handling unexpected effects which occur during plan execution, and for which no reaction plan is available.
UR - https://www.scopus.com/pages/publications/0026976552
M3 - Conference Paper
AN - SCOPUS:0026976552
SN - 155860250X
T3 - Proc 1 Int Conf Artif Intell Plann Syst
SP - 228
EP - 235
BT - Proc 1 Int Conf Artif Intell Plann Syst
PB - Publ by Morgan Kaufmann Publ Inc
T2 - Proceedings of the 1st International Conference on Artificial Intelligence Planning Systems
Y2 - 15 June 1992 through 17 June 1992
ER -