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Applying the Connectionist Inductive Learning and Logic Programming System to Power System Diagnosis (1997)  (Make Corrections)  (4 citations)
Artur S. d'Avila Garcez, Gerson Zaverucha, et al.



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Abstract: The Connectionist Inductive Learning and Logic Programming System, C-IL 2 P, integrates the symbolic and connectionist paradigms of Artificial Intelligence through neural networks that perform massively parallel Logic Programming and inductive learning from examples and background knowledge. This work presents an extension of C-IL 2 P that allows the implementation of Extended Logic Programs in Neural Networks. This extension makes C-IL 2 P applicable to problems where the background... (Update)

Context of citations to this paper:   More

.... in the literature many approaches for using NN in a theory revision process using propositional rules, such as KBANN [20] and CIL 2 P [21]. However, due to the existence of function symbols in our analysis algorithm (such as lists) that could not be expressed through...

.... in the literature many approaches for using NN in a theory revision process using propositional rules, such as KBANN [24] and CIL 2 P [11]. However, due to the existence of function symbols in our analysis algorithm (such as lists) that could not be expressed through...

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Symbolic knowledge extraction from trained neural.. - Garcez, Broda, Gabbay (2001)   (Correct)
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Towards an Inductive Design of Distributed Object.. - Baiao, Mattoso, Zaverucha (1998)   (Correct)

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3:   Inductive Logic Programming: Techniques and Applications (context) - Lavrac, Dzeroski - 1994
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BibTeX entry:   (Update)

Garcez, A., Zaverucha, G. and Silva, V. N., 1997, "Applying the Connectionist Inductive Learning and Logic Programming System to Power System Diagnosis," In: Proceedings of the IEEE International Conference on Neural Networks (ICNN-97), Houston, Texas, USA, Vol.1, pp.121-126. http://citeseer.ist.psu.edu/garcez97applying.html   More

@misc{ garcez97applying,
  author = "A. Garcez and G. Zaverucha and V. Silva",
  title = "Applying the Connectionist Inductive Learning and Logic Programming System
    to Power System Diagnosis",
  text = "Garcez, A., Zaverucha, G. and Silva, V. N., 1997, Applying the Connectionist
    Inductive Learning and Logic Programming System to Power System Diagnosis,
    In: Proceedings of the IEEE International Conference on Neural Networks
    (ICNN-97), Houston, Texas, USA, Vol.1, pp.121-126.",
  year = "1997",
  url = "citeseer.ist.psu.edu/garcez97applying.html" }
Citations (may not include all citations):
1838   Foundations of Logic Programming (context) - Lloyd - 1987
1491   Learning Internal Representations by Error Propagation (context) - Rumelhart, Hinton et al. - 1986
858   The Stable Model Semantics for Logic Programming - Gelfond, Lifschitz - 1988
374   Classical Negation in Logic Programs and Disjunctive Databas.. - Gelfond, Lifschitz - 1991
313   Inductive Logic Programming: Theory and Methods - Muggleton, Raedt - 1994
212   Inductive Logic Programming: Techniques and Applications (context) - Lavrac, Dzeroski - 1994
126   A Survey and Critique of Techniques for Extracting Rules fro.. (context) - Andrews, Diederich et al. - 1995
100   Theorist: A Logical Reasoning System for Defaults and Diagno.. (context) - Poole, Goebel et al. - 1987
97   Knowledge-Based Artificial Neural Networks - Towell, Shavlik - 1994
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26   Compiling a Default Reasoning System into Prolog - Poole - 1991
23   An Overview of Strategies for Neurosymbolic Integration - Hilario - 1995
9   Logic Programming and Inductive Learning in Artificial Neura.. (context) - Garcez, Zaverucha et al. - 1996
7   Toward a New Massively Parallel Computational Model for Logi.. - Holldobler, Kalinke - 1994
4   A Prioritized Contextual Default Logic: Curing Anomalous Ext.. (context) - Zaverucha - 1994
4   Logical Inference and Inductive Learning in Artificial Neura.. (context) - Garcez, Zaverucha et al. - 1996
4   Learning Strategies and Automated Knowledge Acquisition - Michalski - 1987
2   Logical versus Analogical, Symbolic versus Connectionist, Ne.. (context) - Minsky - 1991
2   Automated Inferencing and Connectionist Models (context) - Holldobler - 1993
2   In Defense of Logic (context) - Hayes - 1977
2   On Cumulative Default Logic with Filters (context) - Zaverucha - 1996
2   Massively Parallel Models of Computation (context) - Barbosa - 1993
1   An Integration of Neural Networks and Fuzzy Logic for Power .. (context) - Silva, Zebulum - 1996
1   An Integration of Neural Networks and Nonmonotonic Logic for.. (context) - Silva, Zaverucha et al. - 1995
1   Reasoning, Nonmonotonicity and Learning in Connectionist Net.. (context) - Pinkas - 1995
1   Neural Networks Connections to Expert Systems (context) - Medsker - 1994

Documents on the same site (http://www.soi.city.ac.uk/~aag/?cont=3):   More
A Connectionist Inductive Learning System For - Garcez, Gabbay (2002)   (Correct)
Revising Rules to Capture Requirements Traceability.. - Machine Learning Approach (2003)   (Correct)
Inducing Relational Concepts with Neural Networks via.. - Basilio, Zaverucha.. (1998)   (Correct)

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