DocumentCode
3174257
Title
Learning via queries
Author
Gasarch, W.I.
Author_Institution
Dept. of Comput. Sci., Maryland Univ., College Park, MD
fYear
1988
fDate
24-26 Oct 1988
Firstpage
130
Lastpage
137
Abstract
The power of various query languages is compared along two dimensions, namely the inherent power of the language and the number of alternations of quantizers. Learning by asking questions is compared to learning by passively reading data. It is found that the extent of what can be learned by queries is largely dependent on the language used by the inference mechanism to formulate questions to ask of its trainer. It is proved that inference machines that are allowed to ask first-order questions with plus and times can be used to solve the halting problem and therefore can learn all the recursive functions. Learning languages are also considered
Keywords
inference mechanisms; learning systems; query languages; inference machines; inference mechanism; inherent power; quantizers; query languages; recursive functions; Arithmetic; Artificial intelligence; Computer science; Database languages; Educational institutions; Formal verification; Humans; Inference mechanisms; Logic; Machine learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 1988., 29th Annual Symposium on
Conference_Location
White Plains, NY
Print_ISBN
0-8186-0877-3
Type
conf
DOI
10.1109/SFCS.1988.21931
Filename
21931
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