Automated Expert Knowledge Base Generation Using Genetic Programming
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gp-bibliography.bib Revision:1.8051
- @InProceedings{tsakonas_automated_2004,
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author = "Athanasios Tsakonas and Georgios Dounias",
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title = "Automated {Expert} {Knowledge} {Base} {Generation}
{Using} {Genetic} {Programming}",
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booktitle = "{SETN} 04: {Companion} {Volume} {Proceedings}",
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editor = "G. A. Vouros and T. Panagiotopoulos",
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year = "2004",
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pages = "109--118",
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address = "Samos, Greece",
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ISBN = "960-431-910-8",
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URL = "http://eprints.bournemouth.ac.uk/17868/1/tsakonas-dounias-SETN-2004.pdf",
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keywords = "genetic algorithms, genetic programming, expert
systems, neural logic networks, grammar guided genetic
programming, cellular encoding",
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abstract = "Nowadays a large number of intelligent systems for
decision-making have yielded encouraging results.
However, it is commonly acknowledged that expert system
technology has some drawbacks. In particular, the
knowledge bases of expert systems do not evolve. To
solve this problem, a solution that integrated neural
networks and expert systems has recently been proposed,
namely the application of neural logic networks. This
integrated system combines the strength of rule-based
semantic structure and the learning capability of
connectionist architecture. Nevertheless, the early
approaches of this model carried the disadvantage of
producing poor results or solutions that could not be
interpreted straightforward. In this work, we overcome
the these problems and we propose a system that is
capable of producing arbitrary large and connected
neural logic networks that can easily be interpreted
into sets of expert rules. To accomplish this task we
adopt a genetic programming approach, guided through
grammars and we encode indirectly the architecture into
genetic programming individuals. We test and make
conclusions on the effectiveness of the proposed system
into two real-world decision making domains.",
- }
Genetic Programming entries for
Athanasios D Tsakonas
Georgios Dounias
Citations