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Deductive Databases and P Systems

Deductive databases and P systems
Authors: Rogozhin, Vladimir; Gutiérrez Naranjo, Miguel Ángel;

Deductive Databases and P Systems

Abstract

In computational processes based on backwards chaining, a rule of the type A Ã B1; : : : ;Bn is seen as a procedure which points that the problem A can be split into the problems B1; : : : ;Bn. In classical devices, the subproblems B1; : : : ;Bn are solved sequentially. In this paper we present some questions that circulated during the Second Brainstorming Week related to the application of the parallelism of P systems to computation based on backwards chaining, and we illustrate them with the example of inferential deductive process.

Ministerio de Ciencia y Tecnología TIC2002-04220-C03-01

Country
Spain
Related Organizations
Keywords

Artificial intelligence, membrane systems, Deductive databases, inferential deductive process, Electronic computers. Computer science, P systems, Database theory, Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.), QA75.5-76.95, backwards chaining

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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!
0
Average
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Average
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