Hybrid Behaviour Orchestration in a Multilayered Cognitive Architecture Using an Evolutionary Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Lopez:2008:cec,

• author = "Oscar Javier {Romero Lopez} and Angelica {de Antonio}",
• title = "Hybrid Behaviour Orchestration in a Multilayered Cognitive Architecture Using an Evolutionary Approach",
• booktitle = "2008 IEEE World Congress on Computational Intelligence",
• year = "2008",
• editor = "Jun Wang",
• pages = "174--180",
• address = "Hong Kong",
• month = "1-6 " # jun,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• isbn13 = "978-1-4244-1823-7",
• file = "EC0065.pdf",
• DOI = "doi:10.1109/CEC.2008.4630795",
• 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 bioinspired 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 animat environment using a multi-agent platform where several learning capabilities and emergent properties for selfconfiguring internal agent's architecture arise.",
• keywords = "genetic algorithms, genetic programming, gene expression programming",
• notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the EPS and the IET.",

}

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

Citations