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The strength of noninclusions for teams of finite learners (extended abstract)
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Source Annual Workshop on Computational Learning Theory archive
Proceedings of the seventh annual conference on Computational learning theory table of contents
New Brunswick, New Jersey, United States
Pages: 268 - 277  
Year of Publication: 1994
ISBN:0-89791-655-7
Author
Martin Kummer  Institut für Logik, Komplexität und Deduktionssysteme, Universität Karlsruhe, D-76128 Karlsruhe, Germany
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

In team learning one considers a set of n learning machines and requires that m out of n must be successful. Comparing the power of different teams of learning machines is a major topic of inductive inference. It is centered around the “inclusion problem”: When is an (m,n)-team more powerful than an (m′,n′)-team? In this paper we show that there are noninclusions of different strength for teams of finite learners (i.e., EX0-teams). We measure the strength of a noninclusion [m,n]EX0 [m′n′]EX0-team. If any such A exists then we may take A = K where K is the halting problem, and for Popperian learners a K-oracle is also necessary. In contrast, for the noninclusion [29,49]EX0&nsube[2,4]EX0 weaker oracles suffice, and we characterize them as exactly those sets which are Turing-equivalent to a complete and consistent extension of Peano Arithmetic.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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