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Article . 1991 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
https://doi.org/10.1093/019823...
Part of book or chapter of book . 1999 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1093/019823...
Part of book or chapter of book . 1999 . Peer-reviewed
Data sources: Crossref
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The problem of logical omniscience, I

Authors: Robert C. Stalnaker;

The problem of logical omniscience, I

Abstract

AbstractThis second exploration of the problem of logical omniscience uses a simple abstract model of a community of knowers, developed by theoretical computer scientists, to help sharpen the problem. Knowers are modelled by processors in a distributed system, such as a computer network, and knowledge is defined in terms of the information about the system as a whole that is carried by the individual components. A number of different strategies for distinguishing between available and merely implicit knowledge in this setting are explored. No solution is defended; the aim is only to bring out the problem and put it in context.

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    88
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
88
Top 10%
Top 10%
Average
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