Handling incomplete information in an evolutionary environment
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- @InProceedings{Ribeiro:2010:cec,
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author = "Jorge Ribeiro and Jose Machado and Antonio Abelha and
Manuel Fernandez-Delgado and Jose Neves",
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title = "Handling incomplete information in an evolutionary
environment",
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booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6910-9",
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abstract = "In this paper we address the problem of modeling
creativity in Artificial Intelligence using a Genetic
or Evolutionary based approach to computing, where the
universe of discourse is represented as theories or
programs in an extension to the Logic Programming
language, which makes possible to handle incomplete or
even contradictory information in an evolutionary
environment. Indeed, we present a new insight for the
construction of evolutive systems that combines the
potential of the knowledge representation and reasoning
mechanisms, present in the logic programming languages.
Here, in an evolutionary setting, the candidate
solutions to model the universe of discourse are seen
as evolutionary logic programs or theories, being the
test whether a solution is optimal based on a measure
of the quality-of-information carried by those logical
theories or programs. From a point of view of the
process, the quality-of-information of the universe of
discourse is assessed on the fly, being therefore
possible to select the best logical theory or program
that models it, in terms of the same time line.",
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DOI = "doi:10.1109/CEC.2010.5586079",
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notes = "WCCI 2010. Also known as \cite{5586079}",
- }
Genetic Programming entries for
Jorge Manuel Ferreira Barbosa Ribeiro
Jose Manuel Ferreira Machado
Antonio Carlos da Silva Abelha
Manuel Fernandez-Delgado
Jose Carlos Ferreira Maia Neves
Citations