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 language | English |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Pages | 308-317 |
Number of pages | 10 |
Volume | 1886 LNAI |
Publication status | Published - 2000 |
Externally published | Yes |
Event | 6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000 - Melbourne, VIC Duration: 2000 Aug 28 → 2000 Sep 1 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 1886 LNAI |
ISSN (Print) | 03029743 |
ISSN (Electronic) | 16113349 |
Other
Other | 6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000 |
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City | Melbourne, VIC |
Period | 00/8/28 → 00/9/1 |
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - A preference-based theory of intention
AU - Sugimoto, Tooru
PY - 2000
Y1 - 2000
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84867788251&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84867788251
SN - 3540679251
SN - 9783540679257
VL - 1886 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 308
EP - 317
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -