{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/27095"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/27095","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"SPIRE : systems for plan recovery in intelligent environments","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Chiou, Stefanie Chiawhei, 1980-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Howard E. Shrobe."],"committee_chairs":[],"committee_members":[],"year":2004,"date_issued":"2004","date_published":"2004","updated_at":"2026-07-22T22:21:44Z","subjects":["Electrical Engineering and Computer Science."],"languages":["en_US"],"rights":["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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/27095","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Howard E. Shrobe."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. 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