Disaster world: Decision-theoretic agents for simulating population responses to hurricanes
Disaster world: Decision-theoretic agents for simulating population responses to hurricanes
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
Artificial intelligence (AI) research provides a rich source of modeling languages capable of generating socially plausible simulations of human behavior, while also providing a transparent ground truth that can support validation of social-science methods applied to that simulation. In this work, we leverage two established AI representations: dec...
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Full title
Disaster world: Decision-theoretic agents for simulating population responses to hurricanes
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Record Identifier
TN_cdi_crossref_primary_10_1007_s10588_022_09359_y
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1007_s10588_022_09359_y
Other Identifiers
ISSN
1381-298X
E-ISSN
1572-9346
DOI
10.1007/s10588-022-09359-y
