Plan Recognition as Candidate Space Search
| dc.contributor.advisor | Dr. Dennis Bahler, Committee Member | en_US |
| dc.contributor.advisor | Dr. Michael Young, Committee Chair | en_US |
| dc.contributor.advisor | Dr James Lester, Committee Member | en_US |
| dc.contributor.author | Kumaran, Vikram | en_US |
| dc.date.accessioned | 2010-04-02T18:16:41Z | |
| dc.date.available | 2010-04-02T18:16:41Z | |
| dc.date.issued | 2007-03-06 | en_US |
| dc.degree.discipline | Computer Science | en_US |
| dc.degree.level | thesis | en_US |
| dc.degree.name | MS | en_US |
| dc.description | North Carolina State University Theses Computer Science. | |
| dc.description.abstract | Effective human computer interaction is enhanced by a machine's ability to make educated guesses about the intention of its user. In our research, we have developed a novel plan recognition algorithm — based on plan space search planners — to recognize plans given a limited set of observed actions. Our focus in this research is towards accurately picking possible plans and not towards disambiguation or building plan libraries and therefore we complement other advances in this field, namely probability based recognition and other plan library based recognition systems. Along with the ability to recognize overall goal of an agent our algorithm also allows us to make local predictions, a feature absent in most of the other system. | en_US |
| dc.format | Thesis (M.S.)--North Carolina State University. | |
| dc.identifier.other | etd-10312006-000347 | en_US |
| dc.identifier.uri | http://www.lib.ncsu.edu/resolver/1840.16/2705 | |
| dc.rights | I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. | en_US |
| dc.subject | Plan recognition | en_US |
| dc.subject | Planning | en_US |
| dc.title | Plan Recognition as Candidate Space Search | en_US |
| dcterms.abstract | Keywords: Plan recognition, Planning. | |
| dcterms.extent | v, 51 pages : illustrations (some color) |
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