Abstract
While Bayesian conditioning fits in nicely with probabilistic belief expansion, its use is problematic in the context of non-trivial belief revision. Lewis’ use of imaging based on closeness between possible worlds offers a way to overcome this limitation in the context of belief update (in a dynamic environment). In this paper, we explore the use of imaging as a means to construct probabilistic belief revision. Specifically, we present explicit constructions of three candidates strategies, dubbed Naive, Gullible and Cunning, that are based on imaging, and investigate their properties.
| Language | English |
|---|---|
| Title of host publication | PRICAI 2014: Trends in Artificial Intelligence |
| Subtitle of host publication | 13th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2014, Gold Coast, QLD, Australia, December 1-5, 2014, Proceedings |
| Editors | Duc-Nghia Pham, Seong-Bae Park |
| Place of Publication | Cham |
| Publisher | Springer, Springer Nature |
| Pages | 694-707 |
| Number of pages | 14 |
| Volume | 8862 |
| Edition | 1st |
| ISBN (Electronic) | 9783319135601 |
| ISBN (Print) | 9783319135595 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 13th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2014 - Gold Coast, QLD, Australia Duration: 1 Dec 2014 → 5 Dec 2014 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer |
| ISSN (Print) | 0302-9743 |
Conference
| Conference | 13th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2014 |
|---|---|
| Country | Australia |
| City | Gold Coast, QLD |
| Period | 1/12/14 → 5/12/14 |
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Probabilistic belief revision via imaging. / Chhogyal, Kinzang; Nayak, Abhaya; Schwitter, Rolf; Sattar, Abdul.
PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2014, Gold Coast, QLD, Australia, December 1-5, 2014, Proceedings. ed. / Duc-Nghia Pham; Seong-Bae Park. Vol. 8862 1st. ed. Cham : Springer, Springer Nature, 2014. p. 694-707 (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-review
TY - GEN
T1 - Probabilistic belief revision via imaging
AU - Chhogyal, Kinzang
AU - Nayak, Abhaya
AU - Schwitter, Rolf
AU - Sattar, Abdul
PY - 2014
Y1 - 2014
N2 - While Bayesian conditioning fits in nicely with probabilistic belief expansion, its use is problematic in the context of non-trivial belief revision. Lewis’ use of imaging based on closeness between possible worlds offers a way to overcome this limitation in the context of belief update (in a dynamic environment). In this paper, we explore the use of imaging as a means to construct probabilistic belief revision. Specifically, we present explicit constructions of three candidates strategies, dubbed Naive, Gullible and Cunning, that are based on imaging, and investigate their properties.
AB - While Bayesian conditioning fits in nicely with probabilistic belief expansion, its use is problematic in the context of non-trivial belief revision. Lewis’ use of imaging based on closeness between possible worlds offers a way to overcome this limitation in the context of belief update (in a dynamic environment). In this paper, we explore the use of imaging as a means to construct probabilistic belief revision. Specifically, we present explicit constructions of three candidates strategies, dubbed Naive, Gullible and Cunning, that are based on imaging, and investigate their properties.
UR - http://www.scopus.com/inward/record.url?scp=84911876193&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-13560-1_55
DO - 10.1007/978-3-319-13560-1_55
M3 - Conference proceeding contribution
SN - 9783319135595
VL - 8862
T3 - Lecture Notes in Computer Science
SP - 694
EP - 707
BT - PRICAI 2014: Trends in Artificial Intelligence
A2 - Pham, Duc-Nghia
A2 - Park, Seong-Bae
PB - Springer, Springer Nature
CY - Cham
ER -