Coping with exceptions in multiclass ILP problems using possibilistic logic

Serrurier, Mathieu; Prade, Henri

Coping with exceptions in multiclass ILP problems using possibilistic logic

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1761--1.

Abstract

The handling of exceptions in multiclass problems is a tricky issue in inductive logic programming (ILP). In this paper we propose a new formalization of the ILP problem which accounts for default reasoning, and is encoded with first-order possibilistic logic. We show that this formalization allows us to handle rules with exceptions, and to prevent an example to be classified in more than one class. The possibilistic logic view of ILP problem, can be easily handled at the algorithmic level as an optimization problem.

Mathieu Serrurier, and Henri Prade. 2005. Coping with exceptions in multiclass ILP problems using possibilistic logic. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1761–-1. https://ijcai.org/proceedings/2005/314

@inproceedings{ijcai2005p314,
  title     = {Coping with exceptions in multiclass ILP problems using possibilistic logic},
  author    = {Serrurier, Mathieu and Prade, Henri},
  booktitle = {Proceedings of the Nineteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-05}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  pages     = {1761---1},
  year      = {2005},
  url       = {https://ijcai.org/proceedings/2005/314},
}

TY  - CPAPER
TI  - Coping with exceptions in multiclass ILP problems using possibilistic logic
AU  - Serrurier, Mathieu
AU  - Prade, Henri
T2  - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2005
SP  - 1761
EP  - -1
UR  - https://ijcai.org/proceedings/2005/314
ER  -