Planning and scheduling (P&S) constitute fundamental cognitive capabilities for systems to reason about plans and their causal structure. They are essential for producing a goal-oriented system behavior and supporting a user's decision making. While planning is the method of creating courses of action that achieve goals or perform tasks, scheduling assigns consistent allocations of time and resources to activities. 'Hybrid planning' refers to a distinct paradigm, which integrates building plans based on the individual action's causal structure with obtaining plans from iteratively implementing abstract actions by pre-defined partial solutions. Combined, hierarchical model aspects represent regular solutions provided by domain experts, while causality-based techniques complete underspecified procedures and address exceptional cases.
%0 Journal Article
%1 Schattenberg16ki
%A Schattenberg, Bernd
%D 2016
%J KI -- Künstliche Intelligenz
%K 01614 springer paper ai knowledge processing plan action algorithm
%N 1
%P 95--97
%R 10.1007/s13218-015-0390-z
%T Hybrid Planning and Scheduling
%V 30
%X Planning and scheduling (P&S) constitute fundamental cognitive capabilities for systems to reason about plans and their causal structure. They are essential for producing a goal-oriented system behavior and supporting a user's decision making. While planning is the method of creating courses of action that achieve goals or perform tasks, scheduling assigns consistent allocations of time and resources to activities. 'Hybrid planning' refers to a distinct paradigm, which integrates building plans based on the individual action's causal structure with obtaining plans from iteratively implementing abstract actions by pre-defined partial solutions. Combined, hierarchical model aspects represent regular solutions provided by domain experts, while causality-based techniques complete underspecified procedures and address exceptional cases.
@article{Schattenberg16ki,
abstract = {Planning and scheduling (P&S) constitute fundamental cognitive capabilities for systems to reason about plans and their causal structure. They are essential for producing a goal-oriented system behavior and supporting a user's decision making. While planning is the method of creating courses of action that achieve goals or perform tasks, scheduling assigns consistent allocations of time and resources to activities. 'Hybrid planning' refers to a distinct paradigm, which integrates building plans based on the individual action's causal structure with obtaining plans from iteratively implementing abstract actions by pre-defined partial solutions. Combined, hierarchical model aspects represent regular solutions provided by domain experts, while causality-based techniques complete underspecified procedures and address exceptional cases.},
added-at = {2016-05-22T12:38:09.000+0200},
author = {Schattenberg, Bernd},
biburl = {https://www.bibsonomy.org/bibtex/275bcb95f7e01a2fc7566a1a429f90e5e/flint63},
doi = {10.1007/s13218-015-0390-z},
file = {SpringerLink:2016/Schattenberg16ki.pdf:PDF},
groups = {public},
interhash = {2a44dfcca66dea3ff6bed3a6b36bc4e8},
intrahash = {75bcb95f7e01a2fc7566a1a429f90e5e},
issn = {0933-1875},
journal = {KI -- K\"{u}nstliche Intelligenz},
keywords = {01614 springer paper ai knowledge processing plan action algorithm},
month = {#feb#},
number = 1,
pages = {95--97},
timestamp = {2018-04-16T12:12:20.000+0200},
title = {Hybrid Planning and Scheduling},
username = {flint63},
volume = 30,
year = 2016
}