Bio-inspired cognitive architecture for adaptive agents based on an evolutionary approach
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Ir a este contenido- Autor
- Año de publicación 2008
- Idioma Inglés
- Descripción
- In this work, an hybrid, self-configurable, multilayered and evolutionary subsumption architecture for cognitive agents is developed. Each layer of the multilayered architecture is modeled by one different Reinforcement Machine Learning System (RMLS) based on bio-inspired techniques.In this research an evolutionary mechanism based 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 too. The proposed approach was tested in an animat environment (artificial life) using a multi-agent platform and it exhibited several learning capabilities and emergent properties for self-configuring internal agent’s architecture.
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Citación recomendada (normas APA)
- Oscar Javier; Antonio Jiménez Romero López, "Bio-inspired cognitive architecture for adaptive agents based on an evolutionary approach", -:-, 2008. Consultado en línea en la Biblioteca Digital de Bogotá (https://www.bibliotecadigitaldebogota.gov.co/resources/2087680/), el día 2024-05-17.