Self-Organized and Evolvable Cognitive Architecture for Intelligent Agents and Multi-agent Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Lopez:ICCEA:2010,
  author =       "Oscar Javier {Romero Lopez}",
  title =        "Self-Organized and Evolvable Cognitive Architecture
                 for Intelligent Agents and Multi-agent Systems",
  booktitle =    "Second International Conference on Computer
                 Engineering and Applications (ICCEA, 2010)",
  year =         "2010",
  month =        "19-21 " # mar,
  volume =       "1",
  pages =        "417--421",
  address =      "Bali Island",
  isbn13 =       "978-1-4244-6079-3",
  abstract =     "Managing and arbitrating behaviours, processes and
                 components in multilayered cognitive architectures when
                 a huge amount of environmental variables are changing
                 continuously with increasing complexity, ensue in a
                 very comprehensive task. The presented framework
                 proposes an hybrid cognitive architecture that relies
                 on subsumption theory and includes some important
                 extensions. These extensions can be condensed in
                 inclusion of learning capabilities through bio-inspired
                 reinforcement machine learning systems, an evolutionary
                 mechanism based on gene expression programming to
                 self-configure the behaviour arbitration between
                 layers, a co-evolutionary mechanism to evolve behaviour
                 repertories in a parallel fashion and finally, an
                 aggregation mechanism to combine the learning
                 algorithms outputs to improve the learning quality and
                 increase the robustness and fault tolerance ability of
                 the cognitive agent. The proposed architecture was
                 proved in an animate environment using a multi-agent
                 platform where several learning capabilities and
                 emergent properties for self-configuring internal
                 agent's architecture arise.",
  keywords =     "genetic algorithms, genetic programming, aggregation
                 mechanism, evolutionary mechanism, evolvable cognitive
                 architecture, gene expression programming, intelligent
                 agents, multi-agent system, multilayered cognitive
                 architectures, reinforcement machine learning systems,
                 self-organised evolvable architecture, subsumption
                 theory, cognitive systems, learning (artificial
                 intelligence), multi-agent systems, software
                 architecture",
  DOI =          "doi:10.1109/ICCEA.2010.87",
  notes =        "Software Engineering Department Fundacion
                 Universitaria Konrad Lorenz, Cra 9 bis No. 62-43
                 Bogota, Colombia. Also known as \cite{5445796}",
}

Genetic Programming entries for Oscar Javier Romero Lopez

Citations