TitleJobPlan --- a new integrated representation and planner for batch job workflow automation
NameLall, Tracey D. (author), Stone, Matthew (chair), Shan, Chung-chieh (internal member), Borgida, Alex (internal member), Petrick, Ron (outside member), Rutgers University, Graduate School - New Brunswick,
Electronic data processing--Batch processing ,
Artificial intelligence--Data processing
DescriptionThis dissertation presents a new representation and action logic for integrated planning, scheduling, execution monitoring and sensing. These features were motivated by the problem of computer batch job management but are applicable to any domain entailing these forms of reasoning. The existing planning literature has primarily focussed on providing highly efficient representations and algorithms which address specific aspects of planning and sensing. However no single planning framework currently combines the requisite integrated abilities of managing durative triggered actions in an open world environment. The dissertation's contributions are a multi-purpose planning and sensing representation and an associated partial order action logic to support these features. Plans and beliefs are represented as a workflow state machine governed by a clearly defined dynamics. Time based goals are handled by treating time as a fluent. The implementation and evaluation of a prototype planner ``JobPlan" on key domain scenarios illustrating these features is presented.
NoteIncludes bibliographical references
Noteby Tracey D. Lall
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.