Handling incomplete information in an evolutionary environment

Created by W.Langdon from gp-bibliography.bib Revision:1.8187

@InProceedings{Ribeiro:2010:cec,

• author = "Jorge Ribeiro and Jose Machado and Antonio Abelha and Manuel Fernandez-Delgado and Jose Neves",
• title = "Handling incomplete information in an evolutionary environment",
• booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-4244-6910-9",
• 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.",
• DOI = "doi:10.1109/CEC.2010.5586079",
• 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