A preference-based theory of intention

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Although there has been much work on the logical formulation of intention, only little attention has been paid on the close relationship between intentions and preferences of an agent. As a result, the previous work cannot properly treat reasoning with information about preferences. In this paper, we investigate a preference-based approach to the logic of intention. Based on an intuition that intentions are desirable choices of an agent, we define a notion of intention in terms of the preference order of an agent. The definition is a simple and intuitive one, and intentions satisfy good and interesting properties. Then we apply our logic to the intention recognition problem. Based on our preference-based definition of intention, we give several sufficient conditions on preferences of an agent under which the action-effect heuristic rule is valid. In this way, we demonstrate that our formalism can give a good basis for designing and understanding heuristics and control strategies for them in the intention recognition domain.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages308-317
Number of pages10
Volume1886 LNAI
Publication statusPublished - 2000
Externally publishedYes
Event6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000 - Melbourne, VIC
Duration: 2000 Aug 282000 Sep 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1886 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000
CityMelbourne, VIC
Period00/8/2800/9/1

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Sugimoto, T. (2000). A preference-based theory of intention. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1886 LNAI, pp. 308-317). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1886 LNAI).

A preference-based theory of intention. / Sugimoto, Tooru.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1886 LNAI 2000. p. 308-317 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1886 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sugimoto, T 2000, A preference-based theory of intention. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1886 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1886 LNAI, pp. 308-317, 6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000, Melbourne, VIC, 00/8/28.
Sugimoto T. A preference-based theory of intention. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1886 LNAI. 2000. p. 308-317. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Sugimoto, Tooru. / A preference-based theory of intention. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1886 LNAI 2000. pp. 308-317 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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