- author = "Oscar Romero and Angelica {de Antonio}",
- title = "Bio-inspired Cognitive Architecture for Adaptive Agents based on an Evolutionary Approach",
- year = "2008",
- booktitle = "Adaptive Learning Agents and Multi-Agent Systems Workshop at AAMAS 2008",
- editor = "Franziska Kluegl and Sandip Sen and Karl Tuyls",
- address = "Estoril, Portugal",
- month = "12 " # may,
- keywords = "genetic algorithms, genetic programming, Gene Expression Programming",
-
URL = "
http://www.cs.cmu.edu/~oscarr/pdf/publications/2008_aamas.pdf",
- size = "8 pages",
- abstract = "In this work, an hybrid, self-configurable, multilayered and evolutionary subsumption architecture for cognitive agents is developed. Each layer of the multilayered architecture is modelled 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.",
-
notes = "pages
89--96
http://ki.informatik.uni-wuerzburg.de/~kluegl/ALAMAS.ALAg/#accepted
http://gaips.inesc-id.pt/aamas2008/ held in cooperation with AAAI.",
