Three-Valued Semantics for Hybrid MKNF Knowledge Bases Revisited (Extended Abstract)

Abstract

Knorr et al. (2011) formulated a three-valued formalism for the logic of Minimal Knowledge and Negation as Failure (MKNF) and proposed a well-founded semantics for hybrid MKNF knowledge bases (KBs). The main results state that if a hybrid MKNF KB has a three-valued MKNF model, its well-founded MKNF model exists, which is unique and can be computed by an alternating fixpoint construction. In this paper, we show that these claims are erroneous. We propose a classification of hybrid MKNF KBs into a hierarchy and show that its innermost subclass is what works for the well-founded semantics of Knorr et al. Furthermore, we provide a uniform characterization of well-founded, two-valued, and all three-valued MKNF models, in terms of stable partitions and the alternating fixpoint construction, which leads to updated complexity results as well as proof-theoretic tools for reasoning under these semantics.

Cite

Text

Liu and You. "Three-Valued Semantics for Hybrid MKNF Knowledge Bases Revisited (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/798

Markdown

[Liu and You. "Three-Valued Semantics for Hybrid MKNF Knowledge Bases Revisited (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/liu2018ijcai-three/) doi:10.24963/IJCAI.2018/798

BibTeX

@inproceedings{liu2018ijcai-three,
  title     = {{Three-Valued Semantics for Hybrid MKNF Knowledge Bases Revisited (Extended Abstract)}},
  author    = {Liu, Fangfang and You, Jia-Huai},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {5627-5631},
  doi       = {10.24963/IJCAI.2018/798},
  url       = {https://mlanthology.org/ijcai/2018/liu2018ijcai-three/}
}