Abstract
This paper provides a new algorithm of computing a least generalization of a set of atoms. Our algorithm is based on the notion of anti-combination that is the inverse substitution of a combined substitution. In contrast to an anti-unification algorithm that computes a least generalization of two atoms, anti-combination can compute a least generalization of (more than two) atoms in parallel. We evaluate the proposed algorithm using randomly generated data and show that anti-combination outperforms the iterative application of an anti-unification algorithm in general.
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Notes
- 1.
- 2.
We use the same symbol \(\le \) over Atom, but the meaning is clear from the context. Note that the relation is often used reversely in the literature, e.g. \(\sigma \ge \theta \) if \(\sigma =\)\( \theta \lambda \) [4].
- 3.
Combination is called parallel composition in [13].
- 4.
Here we draw underlines to help distinguishing 3 terms in P.
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Acknowledgment
This research is funded by Vietnam National University – Ho Chi Minh city (VNU-HCM) under grant number C2019-26-01. We thank Mikio Yoshida for useful discussion on the subject of this paper.
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Nguyen, H.D., Sakama, C. (2020). A New Algorithm for Computing Least Generalization of a Set of Atoms. In: Kazakov, D., Erten, C. (eds) Inductive Logic Programming. ILP 2019. Lecture Notes in Computer Science(), vol 11770. Springer, Cham. https://doi.org/10.1007/978-3-030-49210-6_8
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