Modulation of multi-level evolutionary strategies for artificial cognition

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

@InProceedings{Romero_2009,
  author =       "Oscar J. {Romero Lopez} and 
                 Angelica {de Antonio Jimenez}",
  title =        "Modulation of multi-level evolutionary strategies for
                 artificial cognition",
  booktitle =    "GECCO '09: Proceedings of the 11th Annual conference
                 on Genetic and evolutionary computation",
  year =         "2009",
  editor =       "Guenther Raidl and Franz Rothlauf and 
                 Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and 
                 Mauro Birattari and Clare Bates Congdon and 
                 Martin Middendorf and Christian Blum and Carlos Cotta and 
                 Peter Bosman and Joern Grahl and Joshua Knowles and 
                 David Corne and Hans-Georg Beyer and Ken Stanley and 
                 Julian F. Miller and Jano {van Hemert} and 
                 Tom Lenaerts and Marc Ebner and Jaume Bacardit and 
                 Michael O'Neill and Massimiliano {Di Penta} and Benjamin Doerr and 
                 Thomas Jansen and Riccardo Poli and Enrique Alba",
  isbn13 =       "978-1-60558-325-9",
  pages =        "1823--1824",
  month =        "8-12 " # jul,
  organisation = "SIGEVO",
  address =      "Montreal, Canada",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://doi.acm.org/10.1145/1569901.1570182",
  DOI =          "doi:10.1145/1569901.1570182",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstrct =      "Integrating different kinds of micro-theories of
                 cognition in intelligent systems when a huge amount of
                 variables are changing continuously, with increasing
                 complexity, is a very exhaustive and complicated task.
                 Our approach proposes a hybrid cognitive architecture
                 that relies on the integration of emergent and
                 cognitivist approaches using evolutionary strategies,
                 in order to combine implicit and explicit knowledge
                 representations necessary to develop cognitive skills.
                 The proposed architecture includes a cognitive level
                 controlled by autopoietic machines and artificial
                 immune systems based on genetic algorithms, giving it a
                 significant degree of plasticity. Furthermore, we
                 propose an attention module which includes an
                 evolutionary programming mechanism in charge of
                 orchestrating the hierarchical relations among
                 specialized behaviors, taking into consideration the
                 global workspace theory for consciousness.
                 Additionally, a coevolutionary mechanism is proposed to
                 propagate knowledge among cognitive agents on the basis
                 of memetic engineering. As a result, several properties
                 of self-organization and adaptability emerged when the
                 proposed architecture was tested in an animat
                 environment, using a multi-agent platform.",
  notes =        "also known as \cite{1570182}",
}

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

Citations