Planning with hypothetical reasoning

Simple item page
dc.contributor.authorPendergraft, James O.en
dc.contributor.committeechairRoach, John W.en
dc.contributor.committeememberNutter, Jane Terryen
dc.contributor.committeememberKervick, Daniel M.en
dc.contributor.departmentComputer Science and Applicationsen
dc.date.accessioned2014-03-14T21:45:15Zen
dc.date.adate2012-09-08en
dc.date.available2014-03-14T21:45:15Zen
dc.date.issued1988-08-05en
dc.date.rdate2012-09-08en
dc.date.sdate2012-09-08en
dc.description.abstractA planner driven by a causal theory and based on hypothetical reasoning is constructed and discussed. The task is approached from the fundamentals of time and event logics, and causality, resulting in a planner suitable for modeling a wide variety of realistic problem domains, and capable of reasoning in an intuitive manner about dynamic domains. The underlying causal theory drives the planning process directly and, in conjunction with the uniform representation of time and causal facts, allows elegant solutions to planning problems. A new type of planning problem, the indirect goal problem, is identified and solved It is also shown that previous planners cannot solve this type of problem. The frame problem is discussed in detail, and given a computational definition, suitable for allowing objective comparison between different approaches. The hypothetical reasoning approach is shown to allow an elegant solution to the frame problem appropriate for planning systems.en
dc.description.degreeMaster of Scienceen
dc.format.extentv, 146 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-09082012-040532en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-09082012-040532/en
dc.identifier.urihttp://hdl.handle.net/10919/44687en
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1988.P375.pdfen
dc.relation.isformatofOCLC# 19951586en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1988.P375en
dc.subject.lcshArtificial intelligenceen
dc.subject.lcshPlanning -- Automationen
dc.subject.lcshPlanning -- Data processingen
dc.titlePlanning with hypothetical reasoningen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
LD5655.V855_1988.P375.pdf
Size:
7.44 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Masters Theses