Modulation of multi-level evolutionary strategies for artificial cognition

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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