Efficient Open World Reasoning for Planning

We consider the problem of reasoning and planning with incomplete knowledge and deterministic actions. We introduce a knowledge representation scheme called PSIPLAN that can effectively represent incompleteness of an agent's knowledge while allowing for sound, complete and tractable entailment...

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Main Authors: Tamara Babaian, James G. Schmolze
Format: Article
Language:English
Published: Logical Methods in Computer Science e.V. 2006-09-01
Series:Logical Methods in Computer Science
Subjects:
Online Access:https://lmcs.episciences.org/2247/pdf
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author Tamara Babaian
James G. Schmolze
author_facet Tamara Babaian
James G. Schmolze
author_sort Tamara Babaian
collection DOAJ
description We consider the problem of reasoning and planning with incomplete knowledge and deterministic actions. We introduce a knowledge representation scheme called PSIPLAN that can effectively represent incompleteness of an agent's knowledge while allowing for sound, complete and tractable entailment in domains where the set of all objects is either unknown or infinite. We present a procedure for state update resulting from taking an action in PSIPLAN that is correct, complete and has only polynomial complexity. State update is performed without considering the set of all possible worlds corresponding to the knowledge state. As a result, planning with PSIPLAN is done without direct manipulation of possible worlds. PSIPLAN representation underlies the PSIPOP planning algorithm that handles quantified goals with or without exceptions that no other domain independent planner has been shown to achieve. PSIPLAN has been implemented in Common Lisp and used in an application on planning in a collaborative interface.
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spelling doaj.art-79033cc2506b4028a4db9937b4ed26192024-03-08T08:36:23ZengLogical Methods in Computer Science e.V.Logical Methods in Computer Science1860-59742006-09-01Volume 2, Issue 310.2168/LMCS-2(3:5)20062247Efficient Open World Reasoning for PlanningTamara Babaianhttps://orcid.org/0009-0000-4341-042XJames G. SchmolzeWe consider the problem of reasoning and planning with incomplete knowledge and deterministic actions. We introduce a knowledge representation scheme called PSIPLAN that can effectively represent incompleteness of an agent's knowledge while allowing for sound, complete and tractable entailment in domains where the set of all objects is either unknown or infinite. We present a procedure for state update resulting from taking an action in PSIPLAN that is correct, complete and has only polynomial complexity. State update is performed without considering the set of all possible worlds corresponding to the knowledge state. As a result, planning with PSIPLAN is done without direct manipulation of possible worlds. PSIPLAN representation underlies the PSIPOP planning algorithm that handles quantified goals with or without exceptions that no other domain independent planner has been shown to achieve. PSIPLAN has been implemented in Common Lisp and used in an application on planning in a collaborative interface.https://lmcs.episciences.org/2247/pdfcomputer science - artificial intelligencecomputer science - logic in computer sciencei.2.4i.2.8f.4.1f.2.2
spellingShingle Tamara Babaian
James G. Schmolze
Efficient Open World Reasoning for Planning
Logical Methods in Computer Science
computer science - artificial intelligence
computer science - logic in computer science
i.2.4
i.2.8
f.4.1
f.2.2
title Efficient Open World Reasoning for Planning
title_full Efficient Open World Reasoning for Planning
title_fullStr Efficient Open World Reasoning for Planning
title_full_unstemmed Efficient Open World Reasoning for Planning
title_short Efficient Open World Reasoning for Planning
title_sort efficient open world reasoning for planning
topic computer science - artificial intelligence
computer science - logic in computer science
i.2.4
i.2.8
f.4.1
f.2.2
url https://lmcs.episciences.org/2247/pdf
work_keys_str_mv AT tamarababaian efficientopenworldreasoningforplanning
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