Hybridization of Cognitive Models Using Evolutionary Strategies

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

@InProceedings{Lopez:2009:cec,
  author =       "Oscar J. {Romero Lopez} and 
                 Angelica {de Antonio Jimenez}",
  title =        "Hybridization of Cognitive Models Using Evolutionary
                 Strategies",
  booktitle =    "2009 IEEE Congress on Evolutionary Computation",
  year =         "2009",
  editor =       "Andy Tyrrell",
  pages =        "3213--3218",
  address =      "Trondheim, Norway",
  month =        "18-21 " # may,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-2959-2",
  file =         "P373.pdf",
  URL =          "https://ieeexplore.ieee.org/document/4983351/",
  DOI =          "doi:10.1109/CEC.2009.4983351",
  abstract =     "Incorporating different kinds of micro-theories of
                 cognition and modulating several mechanisms to unify
                 all the recommended actions and outputs of an
                 Intelligent System when a huge amount of environmental
                 variables are changing continuously with increasing
                 complexity, may become a very comprehensive task. The
                 presented framework proposes an Hybrid Cognitive
                 Architecture that relies on integrating of emergent
                 systems approaches connectionist and autopoietic
                 systems and cognitivist approaches, in order to combine
                 implicit and explicit processes necessary in developing
                 cognitive skills. The proposed architecture includes
                 different kinds of learning capabilities at each
                 cognitive level which grant to the architecture a big
                 plasticity. In addition, the propounded attention
                 module includes an evolutionary mechanism based on gene
                 expression programming to evolve a set of eligibility
                 conditions in charge of modulating the coalition/
                 subordination of specialized behaviours, taking into
                 consideration the theatre metaphor for consciousness.
                 Finally, a co-evolutionary mechanism is proposed to
                 propagate behaviours and knowledge between cognitive
                 systems Agents on the basis of memetic engineering. The
                 proposed architecture was proved in an animat
                 environment using a multi-agent platform where several
                 emergent properties of self-organization arose.",
  notes =        "CEC 2009 - A joint meeting of the IEEE, the EPS and
                 the IET. IEEE Catalog Number: CFP09ICE-CDR",
}

Genetic Programming entries for Oscar Javier Romero Lopez Angelica de Antonio Jimenez

Citations