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Theoretical Computer Science
Article
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Theoretical Computer Science
Article . 1992
License: Elsevier Non-Commercial
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Theoretical Computer Science
Article . 1992 . Peer-reviewed
License: Elsevier Non-Commercial
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Unfolding and fixpoint semantics of concurrent constraint logic programs

Authors: Maurizio Gabbrielli; Giorgio Levi;

Unfolding and fixpoint semantics of concurrent constraint logic programs

Abstract

We present a new semantics for a language in the family of concurrent constraint logic languages. The semantics can be based on a notion of clause unfolding, since the language is closed under this transformation. The unfolding semantics is obtained as limit of an infinite unfolding process. Unfolding is also used to define an immediate consequences operator, and, therefore, a fixpoint semantics in the typical logic programming style. The result of both the unfolding and the fixpoint semantics is a set of reactive behaviors, which are trees abstractly representing all the possible computations of a program, including deadlocks and finite failures.

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Keywords

Artificial intelligence, reactive trees, Semantics in the theory of computing, concurrent constraint logic languages, Logic programming, unfolding, Theoretical Computer Science, Computer Science(all)

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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!
8
Average
Top 10%
Average
hybrid