Analysis of Emergent Properties in a Hybrid Bio-inspired Architecture for Cognitive Agents

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@InProceedings{Romero2007,
  author =       "Oscar J. Romero and Angelica {de Antonio}",
  title =        "Analysis of Emergent Properties in a Hybrid
                 Bio-inspired Architecture for Cognitive Agents",
  booktitle =    "Innovations in Hybrid Intelligent Systems",
  year =         "2007",
  editor =       "Emilio Corchado and Juan M. Corchado and 
                 Ajith Abraham",
  volume =       "44",
  series =       "Advances in Soft Computing",
  pages =        "1--8",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming, Subsumption Architecture,
                 Hybrid Behaviour, Co-evolution, Artificial Immune
                 Systems, Extended Classifier Systems, Neuro
                 Connectionist, Q-Learning Systems",
  isbn13 =       "978-3-540-74972-1",
  URL =          "https://doi.org/10.1007/978-3-540-74972-1_2",
  DOI =          "doi:10.1007/978-3-540-74972-1_2",
  abstract =     "In this work, a hybrid, self-configurable,
                 multilayered and evolutionary architecture for
                 cognitive agents is developed. Each layer of the
                 subsumption architecture is modelled by one different
                 Machine Learning System MLS based on bio-inspired
                 techniques. In this research an evolutionary mechanism
                 supported on Gene Expression Programming to
                 self-configure the behaviour arbitration between layers
                 is suggested. In addition, a co-evolutionary mechanism
                 to evolve behaviours in an independent and parallel
                 fashion is used. The proposed approach was tested in an
                 animat environment using a multi-agent platform and it
                 exhibited several learning capabilities and emergent
                 properties for self-configuring internal agent
                 architecture.",
}

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

Citations