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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2008 . Peer-reviewed
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Intelligent Decision Technologies
Article . 2009 . Peer-reviewed
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Logic of Discovery and Knowledge: Decision Algorithm

Authors: Sergey Babenyshev; Vladimir V. Rybakov;

Logic of Discovery and Knowledge: Decision Algorithm

Abstract

The logic of Chance Discovery (CD) as well as mathematical models for CD, by the nature of the term chance, are hard to formalize, which poses challenging problems for mathematization of the area. It does not completely prevent us though from studying the logical laws which chance discovery and related notions should abide, especially in a carefully chosen and reasonably expressive mathematical formalism. The framework, the authors suggest11 This research is supported by Engineering and Physical Sciences Research Council (EPSRC), UK, grant EP/F014406/1. in this paper, is based on a well-developed area of modal logic, more precisely on Kripke-Hintikka semantics, with a notable distinction: unlike some other hybridization schemes, it leads to decidable logics, while still preserving high expressive power. We demonstrate our approach by an example of the Logic of Discovery and Knowledge, where a regular modal language is augmented with higher level operators intended to model some contrasting aspects of Chance Discovery: uncertain necessity of discovery and local common knowledge within contexts admitting branching time.

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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!
7
Average
Average
Average
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