G-STRIPS – A generalized STRIPS system for handling state change over dynamic domains

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

State change is an essential issue in robotic dynamics modeling. In this paper, we investigate this issue over dynamic domains in the sense that an object in the domain may be created or destroyed by executing some plan of the system. It is observed that current logic based dynamic systems, e.g. the STRIPS-like systems, are semantically problematic to deal with dynamic domains in state change. It turns out that representing nonexisting objects in a logic system becomes a key point to handle this problem. Based on this observation, we define N-structures for an arbitrary first order language where syntactic terms are allowed to denote nonexisting objects with respect to the domain of quantification. Using N-structures to model dynamic domains, we then generalize classical STRIPS to G-STRIPS which can represent and reason about state change involving creation or destruction of objects. We also specify a provablely correct semantics for a class of G-STRIPS systems based on N-structures.

Original languageEnglish
Title of host publicationFoundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings
EditorsZbigniew W. Ras, Einoshin Suzuki, Ning Zhong, Shusaku Tsumoto
PublisherSpringer Verlag
Pages292-296
Number of pages5
ISBN (Print)3540202560, 9783540202561
Publication statusPublished - 2003
Event14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003 - Maebashi City, Japan
Duration: 28 Oct 200331 Oct 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2871
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003
Country/TerritoryJapan
CityMaebashi City
Period28/10/0331/10/03

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2003.

Keywords

  • Commonsense reasoning
  • Knowledge representation
  • Logic of AI
  • Reasoning about change

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