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Abstract: Computational logic has already significantly influenced (symbolic) machine learning through the field of inductive logic programming (ILP) which is concerned with the induction of logic programs from examples and background knowledge. In ILP, the shift of attention from program synthesis to knowledge discovery resulted in advanced techniques that are practically applicable for discovering knowledge in relational databases. Machine learning, and ILP in particular, has the potential to influence ... (Update)
Context of citations to this paper: More
...protocols and so on. Moreover, computational logic has made signi cant contributions in learning through inductive logic programming [51]. Incorporation of such a learning tool within existing agent architectures is a worthy challenge. 3.2 Multi agent systems Further...
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BibTeX entry: (Update)
N. Lavrac, Computational Logic and Machine Learning: a Roadmap for Inductive Logic Programming. Technical Report, J. Stefan Institute, Ljubljana, Slovenia, 1998. http://citeseer.ist.psu.edu/article/lavrac98computational.html More
@misc{ lavrac98computational,
author = "N. Lavrac",
title = "Computational Logic and Machine Learning: a Roadmap for Inductive Logic
Programming",
text = "N. Lavrac, Computational Logic and Machine Learning: a Roadmap for Inductive
Logic Programming. Technical Report, J. Stefan Institute, Ljubljana, Slovenia,
1998.",
year = "1998",
url = "citeseer.ist.psu.edu/article/lavrac98computational.html" }
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