Draft:Theta-subsumption
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Theta-subsumption (θ-subsumption) is an decidable relation between two first-order clauses that guarantees that one clause logically entails the other. It was first introduced by John Alan Robinson in 1965 and has become a fundamental notion in inductive logic programming. Deciding whether a given clause θ-subsumes another is an NP-complete problem.
Definition
A clause, that is, a disjunction of first-order literals, can be considered as a set containing all its disjuncts.
With this convention, a clause θ-subsumes a clause if there is a substitution such that the clause obtained by applying to is a subset of .[1]
Properties
θ-subsumption is a weaker relation than logical entailment, that is, whenever a clause θ-subsumes a clause , then logically entails . However, the converse is not true: A clause can logically entail another clause, but not θ-subsume it.
θ-subsumption is decidable; more precisely, the problem of whether one clause θ-subsumes another is NP-complete in the length of the clauses. This is still true when restricting the setting to pairs of Horn clauses.[2]
As a binary relation among Horn clauses, θ-subsumption is reflexive and transitive. It therefore defines a preorder. It is not antisymmetric, since different clauses can be syntactic variants of each other. However, in every equivalence class of clauses that mutually θ-subsume each other, there is a unique shortest clause up to variable renaming, which can be effectively computed. The class of quotients with respect to this equivalence relation is a complete lattice, which has both infinite ascending and infinite descending chains. A subset of this lattice is known as a refinement graph.[3]
History
θ-subsumption was first introduced by J. Alan Robinson in 1965.[4], and was first applied to inductive logic programming by Gordon Plotkin in 1970 for finding and reducing least general generalisations of sets of clauses.[5] In 1977, Lewis D. Baxter proves that θ-subsumption is NP-complete,[6] and the 1979 seminal work on NP-complete problems, Computers and Intractability, includes it among its list of NP-complete problems.[2]
Applications
θ-subsumption is the most fundamental notion of entailment used in inductive logic programming, where it is used as the fundamental notion to determine whether one clause is a specialisation or a generalisation of another.[1] It is further used to test whether a clause covers an example, and to determine whether a given pair of clauses is redundant.[2]
Notes
- ^ a b De Raedt 2008, p. 127.
- ^ a b c Kietz & Lübbe 1994.
- ^ De Raedt 2008, pp. 131–135.
- ^ Robinson 1965.
- ^ Plotkin 1970, p. 39.
- ^ Baxter 1977.
References
- Baxter, Lewis Denver (September 1977). The complexity of unification (PDF) (Thesis). University of Waterloo.
- Robinson, J. A. (1965). "A Machine-Oriented Logic Based on the Resolution Principle". Journal of the ACM. 12 (1): 23–41.
- Plotkin, Gordon D. (1970). Automatic Methods of Inductive Inference (PDF) (PhD). University of Edinburgh. hdl:1842/6656.
- De Raedt, Luc (2008), Logical and Relational Learning, Berlin, Heidelberg: Springer, ISBN 978-3-540-20040-6
- Kietz, Jörg-Uwe; Lübbe, Marcus (1994), "An Efficient Subsumption Algorithm for Inductive Logic Programming", Machine Learning Proceedings 1994, Elsevier, pp. 130–138, retrieved 2023-11-26