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Why not negation by fixpoint?

Phokion G. Kolaitis, Christos H. Papadimitriou

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Abstract

There is a fixpoint semantics for DATALOG programs with negation that is a natural generalization of the standard semantics for DATALOG programs without negation. We show that, unfortunately, several compelling complexity-theoretic obstacles rule out its efficient implementation. As an alternative, we propose Inflationary DATALOG, an efficiently implementable semantics for negation, based on inflationary fixpoints

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What this paper is about

There is a fixpoint semantics for DATALOG programs with negation that is a natural generalization of the standard semantics for DATALOG programs without negation. We show that, unfortunately, several compelling complexity-theoretic obstacles rule out its efficient implementation. As an alternative, we propose Inflationary DATALOG, an efficiently implementable semantics for negation, based on inflationary fixpoints

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Available abstract

There is a fixpoint semantics for DATALOG programs with negation that is a natural generalization of the standard semantics for DATALOG programs without negation. We show that, unfortunately, several compelling complexity-theoretic obstacles rule out its efficient implementation. As an alternative, we propose Inflationary DATALOG, an efficiently implementable semantics for negation, based on inflationary fixpoints

Key concepts: Datalog, Negation, Negation as failure, Semantics (computer science), Programming language, Computer science, Generalization, Stable model semantics

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