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» Knowledge Representation with Logic Programs
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CIA
2003
Springer
14 years 2 months ago
Logic Programming for Evolving Agents
Abstract. Logic programming has often been considered less than adequate for modelling the dynamics of knowledge changing over time. In this paper we describe Evolving Logic Progra...
José Júlio Alferes, Antonio Brogi, J...
IDEAL
2005
Springer
14 years 2 months ago
Generating Predicate Rules from Neural Networks
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
Richi Nayak
COLING
2000
13 years 10 months ago
Learning Semantic-Level Information Extraction Rules by Type-Oriented ILP
This paper describes an approach to using semantic rcprcsentations for learning information extraction (IE) rules by a type-oriented inductire logic programming (ILl)) system. NLP...
Yutaka Sasaki, Yoshihiro Matsuo
AAAI
1996
13 years 10 months ago
Irrelevance and Conditioning in First-Order Probabilistic Logic
First-order probabilistic logic is a powerful knowledge representation language. Unfortunately, deductive reasoning based on the standard semantics for this logic does not support...
Daphne Koller, Joseph Y. Halpern
ASP
2005
Springer
14 years 2 months ago
Combining Answer Sets of Nonmonotonic Logic Programs
This paper studies compositional semantics of nonmonotonic logic programs. We suppose the answer set semantics of extended disjunctive programs and consider the following problem. ...
Chiaki Sakama, Katsumi Inoue