Abstract
For many commonsense reasoning tasks associated with action domains, only a relatively simple kind of causal knowledge (previously studied by Geffner and Lin) is required. We define a mathematically simple language for expressing knowledge of this kind and describe a general approach to formalizing action domains in it. The language can be used to express ramification and qualification constraints, explicit definitions, concurrency, nondeterminism, and dynamic domains in which things change by themselves.
Original language | English (US) |
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Title of host publication | Proceedings of the National Conference on Artificial Intelligence |
Editors | Anon |
Publisher | AAAI |
Pages | 460-465 |
Number of pages | 6 |
State | Published - Dec 1 1997 |
Event | Proceedings of the 1997 14th National Conference on Artificial Intelligence, AAAI 97 - Providence, RI, USA Duration: Jul 27 1997 → Jul 31 1997 |
Other
Other | Proceedings of the 1997 14th National Conference on Artificial Intelligence, AAAI 97 |
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City | Providence, RI, USA |
Period | 7/27/97 → 7/31/97 |