TY - GEN
T1 - A preference-based theory of intention
AU - Sugimoto, Toru
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.
UR - http://www.scopus.com/inward/record.url?scp=84867788251&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867788251&partnerID=8YFLogxK
U2 - 10.1007/3-540-44533-1_33
DO - 10.1007/3-540-44533-1_33
M3 - Conference contribution
AN - SCOPUS:84867788251
SN - 3540679251
SN - 9783540679257
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 308
EP - 317
BT - PRICAI 2000, Topics in Artificial Intelligence - 6th Pacific Rim International Conference on Artificial Intelligence, Proceedings
A2 - Mizoguchi, Riichiro
A2 - Slaney, John
PB - Springer Verlag
T2 - 6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000
Y2 - 28 August 2000 through 1 September 2000
ER -