An incremental dialogue planner that monitors execution:
Abstract: "This paper describes an incremental planner which chooses among alternate plans based on an evaluation technique, monitors plan execution, and applies recovery strategies if a plan has failed to have the desired effect. The planner operates in a domain where two computer agents engag...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Edinburgh
1990
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Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
480 |
Schlagworte: | |
Zusammenfassung: | Abstract: "This paper describes an incremental planner which chooses among alternate plans based on an evaluation technique, monitors plan execution, and applies recovery strategies if a plan has failed to have the desired effect. The planner operates in a domain where two computer agents engage in dialogue to complete a simple map navigation task. This domain has the properties that there are always several ways of achieving goals and that execution monitoring and reconsidering plans are essential to completing the task. The planning agent chooses among the possible plans for a goal using an evaluation technique designed to choose the most efficient plan which will satisfactorily complete the task Execution monitoring is allowed by attaching special postconditions to plan operators which check with the dialogue partner that the goal has been achieved, and by allowing the dialogue partner to interrupt during the course of an interaction. Finally, three recovery strategies are included: repair where the problem is diagnosed by the partner, repair which must be diagnosed by looking at possible failed preconditions in the plan, and replanning with a different operator or a different instantiation of the same operator. These capabilities make this planning architecture appropriate for domains where the effects of actions are uncertain but can be monitored. |
Beschreibung: | 11 S. |
Internformat
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245 | 1 | 0 | |a An incremental dialogue planner that monitors execution |
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490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 480 | |
520 | 3 | |a Abstract: "This paper describes an incremental planner which chooses among alternate plans based on an evaluation technique, monitors plan execution, and applies recovery strategies if a plan has failed to have the desired effect. The planner operates in a domain where two computer agents engage in dialogue to complete a simple map navigation task. This domain has the properties that there are always several ways of achieving goals and that execution monitoring and reconsidering plans are essential to completing the task. The planning agent chooses among the possible plans for a goal using an evaluation technique designed to choose the most efficient plan which will satisfactorily complete the task | |
520 | 3 | |a Execution monitoring is allowed by attaching special postconditions to plan operators which check with the dialogue partner that the goal has been achieved, and by allowing the dialogue partner to interrupt during the course of an interaction. Finally, three recovery strategies are included: repair where the problem is diagnosed by the partner, repair which must be diagnosed by looking at possible failed preconditions in the plan, and replanning with a different operator or a different instantiation of the same operator. These capabilities make this planning architecture appropriate for domains where the effects of actions are uncertain but can be monitored. | |
650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
650 | 7 | |a Computer software |2 sigle | |
650 | 4 | |a Künstliche Intelligenz | |
650 | 4 | |a Artificial intelligence | |
650 | 4 | |a Planning | |
810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 480 |w (DE-604)BV010450646 |9 480 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-006965163 |
Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Carletta, Jean |
author_facet | Carletta, Jean |
author_role | aut |
author_sort | Carletta, Jean |
author_variant | j c jc |
building | Verbundindex |
bvnumber | BV010452221 |
ctrlnum | (OCoLC)23158903 (DE-599)BVBBV010452221 |
format | Book |
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id | DE-604.BV010452221 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T17:52:46Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006965163 |
oclc_num | 23158903 |
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owner | DE-91G DE-BY-TUM |
owner_facet | DE-91G DE-BY-TUM |
physical | 11 S. |
publishDate | 1990 |
publishDateSearch | 1990 |
publishDateSort | 1990 |
record_format | marc |
series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
spelling | Carletta, Jean Verfasser aut An incremental dialogue planner that monitors execution Edinburgh 1990 11 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 480 Abstract: "This paper describes an incremental planner which chooses among alternate plans based on an evaluation technique, monitors plan execution, and applies recovery strategies if a plan has failed to have the desired effect. The planner operates in a domain where two computer agents engage in dialogue to complete a simple map navigation task. This domain has the properties that there are always several ways of achieving goals and that execution monitoring and reconsidering plans are essential to completing the task. The planning agent chooses among the possible plans for a goal using an evaluation technique designed to choose the most efficient plan which will satisfactorily complete the task Execution monitoring is allowed by attaching special postconditions to plan operators which check with the dialogue partner that the goal has been achieved, and by allowing the dialogue partner to interrupt during the course of an interaction. Finally, three recovery strategies are included: repair where the problem is diagnosed by the partner, repair which must be diagnosed by looking at possible failed preconditions in the plan, and replanning with a different operator or a different instantiation of the same operator. These capabilities make this planning architecture appropriate for domains where the effects of actions are uncertain but can be monitored. Bionics and artificial intelligence sigle Computer software sigle Künstliche Intelligenz Artificial intelligence Planning Department of Artificial Intelligence: DAI research paper University <Edinburgh> 480 (DE-604)BV010450646 480 |
spellingShingle | Carletta, Jean An incremental dialogue planner that monitors execution Bionics and artificial intelligence sigle Computer software sigle Künstliche Intelligenz Artificial intelligence Planning |
title | An incremental dialogue planner that monitors execution |
title_auth | An incremental dialogue planner that monitors execution |
title_exact_search | An incremental dialogue planner that monitors execution |
title_full | An incremental dialogue planner that monitors execution |
title_fullStr | An incremental dialogue planner that monitors execution |
title_full_unstemmed | An incremental dialogue planner that monitors execution |
title_short | An incremental dialogue planner that monitors execution |
title_sort | an incremental dialogue planner that monitors execution |
topic | Bionics and artificial intelligence sigle Computer software sigle Künstliche Intelligenz Artificial intelligence Planning |
topic_facet | Bionics and artificial intelligence Computer software Künstliche Intelligenz Artificial intelligence Planning |
volume_link | (DE-604)BV010450646 |
work_keys_str_mv | AT carlettajean anincrementaldialogueplannerthatmonitorsexecution |