The representation of context: Ideas from artificial intelligence
Law, Probability and Risk 2:191-199 (2003)
| Abstract | To move beyond vague platitudes about the importance of context in legal reasoning or natural language understanding, one must take account of ideas from artificial intelligence on how to represent context formally. Work on topics like prior probabilities, the theory-ladenness of observation, encyclopedic knowledge for disambiguation in language translation and pathology test diagnosis has produced a body of knowledge on how to represent context in artificial intelligence applications. | |||||||||
| Keywords | No keywords specified (fix it) | |||||||||
| Categories | ||||||||||
| Options |
|
|||||||||
| PhilPapers Archive |
Upload a copy of this paper Check publisher's policy on self-archival Papers currently archived: 5,865 |
| External links |
|
| Through your library | Configure |
Robert Stalnaker (1998). On the Representation of Context. Journal of Logic, Language and Information 7 (1):3-19.
Gian Piero Zarri (2007). Ontologies and Reasoning Techniques for (Legal) Intelligent Information Retrieval Systems. Artificial Intelligence and Law 15 (3):251-279.
Jon Williamson (2006). Introduction. Journal of Logic, Language and Information 15 (1-2).
Gregory Wheeler & Luis Moniz Pereira (2004). Epistemology and Artificial Intelligence. Journal of Applied Logic 2 (4):469-93.
Monthly downloads |
Added to index2009-01-28Total downloads7 ( #134,848 of 556,772 )Recent downloads (6 months)0How can I increase my downloads? |

