SPIRE : systems for plan recovery in intelligent environments

Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.

Bibliographic Details
Main Author: Chiou, Stefanie Chiawhei, 1980-
Other Authors: Howard E. Shrobe.
Format: Thesis
Language:en_US
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/27095
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author Chiou, Stefanie Chiawhei, 1980-
author2 Howard E. Shrobe.
author_facet Howard E. Shrobe.
Chiou, Stefanie Chiawhei, 1980-
author_sort Chiou, Stefanie Chiawhei, 1980-
collection MIT
description Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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spelling mit-1721.1/270952019-04-11T14:28:04Z SPIRE : systems for plan recovery in intelligent environments Systems for plan recovery in intelligent environments Chiou, Stefanie Chiawhei, 1980- Howard E. Shrobe. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (leaves 29-30). As intelligent spaces have become more prevalent, the need for diagnosis and recovery from failures in these spaces has also grown. In an effort to make these types of spaces more useable for people who neither care about nor want to understand the underlying technology, encapsulation of high-level ideas into plans is being explored. Unfortunately, these plans are not always executed flawlessly. To deal with these failures, we have developed a system for plan recovery in intelligent spaces called a desktop multi-player virtual simulation game. In Charles River City, students work in teams to SPRIE. SPRIE is an automated system that uses a two-stage process for recovery from plan execution failures. In the first stage, the failure is diagnosed using Bayesian networks. In the second stage, a alternate plan is selected to recover from the failure. By automating the recovery process, the burden of understand the underlying architecture of the intelligent space is removed from the user. by Stefanie Chiawhei Chiou. M.Eng.and S.B. 2005-09-06T21:42:59Z 2005-09-06T21:42:59Z 2004 2004 Thesis http://hdl.handle.net/1721.1/27095 56829489 en_US M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 30 leaves 1456977 bytes 1458828 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Chiou, Stefanie Chiawhei, 1980-
SPIRE : systems for plan recovery in intelligent environments
title SPIRE : systems for plan recovery in intelligent environments
title_full SPIRE : systems for plan recovery in intelligent environments
title_fullStr SPIRE : systems for plan recovery in intelligent environments
title_full_unstemmed SPIRE : systems for plan recovery in intelligent environments
title_short SPIRE : systems for plan recovery in intelligent environments
title_sort spire systems for plan recovery in intelligent environments
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/27095
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