Plan-Driven Pervasive Computing
The goal of human-centered, pervasive computing should be to hide the details of the computing environment, allowing users to concentrate on their goals, rather than on the direct management of devices. This paper describes a system that operates at the level of goals and plans, rather than individu...
Main Authors: | , , |
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Language: | en_US |
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2006
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Online Access: | http://hdl.handle.net/1721.1/31222 |
_version_ | 1811074799117533184 |
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author | Look, Gary Peters, Stephen Shrobe, Howard |
author2 | Howard Shrobe |
author_facet | Howard Shrobe Look, Gary Peters, Stephen Shrobe, Howard |
author_sort | Look, Gary |
collection | MIT |
description | The goal of human-centered, pervasive computing should be to hide the details of the computing environment, allowing users to concentrate on their goals, rather than on the direct management of devices. This paper describes a system that operates at the level of goals and plans, rather than individual resources. It adaptively selects from its plan library that plan which is likely to best achieve the userÂs goal in view of his preferences and current resource availability. Once the plan and resources are selected, it monitors the execution of the plan, dispatching subtasks when they are ready to be executed. |
first_indexed | 2024-09-23T09:55:41Z |
id | mit-1721.1/31222 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T09:55:41Z |
publishDate | 2006 |
record_format | dspace |
spelling | mit-1721.1/312222019-04-12T08:37:53Z Plan-Driven Pervasive Computing Look, Gary Peters, Stephen Shrobe, Howard Howard Shrobe AIRE The goal of human-centered, pervasive computing should be to hide the details of the computing environment, allowing users to concentrate on their goals, rather than on the direct management of devices. This paper describes a system that operates at the level of goals and plans, rather than individual resources. It adaptively selects from its plan library that plan which is likely to best achieve the userÂs goal in view of his preferences and current resource availability. Once the plan and resources are selected, it monitors the execution of the plan, dispatching subtasks when they are ready to be executed. 2006-03-02T14:01:55Z 2006-03-02T14:01:55Z 2006-03-01 MIT-CSAIL-TR-2006-016 http://hdl.handle.net/1721.1/31222 en_US Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory 14p. 18134831 bytes 577156 bytes application/postscript application/pdf application/postscript application/pdf |
spellingShingle | Look, Gary Peters, Stephen Shrobe, Howard Plan-Driven Pervasive Computing |
title | Plan-Driven Pervasive Computing |
title_full | Plan-Driven Pervasive Computing |
title_fullStr | Plan-Driven Pervasive Computing |
title_full_unstemmed | Plan-Driven Pervasive Computing |
title_short | Plan-Driven Pervasive Computing |
title_sort | plan driven pervasive computing |
url | http://hdl.handle.net/1721.1/31222 |
work_keys_str_mv | AT lookgary plandrivenpervasivecomputing AT petersstephen plandrivenpervasivecomputing AT shrobehoward plandrivenpervasivecomputing |