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Duro, J. Santos, F. Bellas, and
A. Lamas.
On
Line Darwinist Cognitive Mechanism for an Artificial Organism.
In Proceedings supplement book SAB2000, 2000.
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and R. J. Duro.
Using
evolution for thinking and deciding.
In Proceedings of the WSES International Conference on Neural Networks
and Applications, 2001.
- F. Bellas, A. Lamas, and
R. J. Duro.
Multilevel
Darwinist brain and autonomously learning to walk.
In Proceedings of the International Conference on Computational
Intelligence, Robotics, 2001.
- F. Bellas and R. J. Duro.
Modelling
the world with statistically neutral PBGAs. Enhancement and real
applications.
In Proceedings of the 9th International Conference on Neural Information
Processing, pages 2093–2097, 2002.
(doi:10.1109/ICONIP.2002.1199045)
- Francisco Bellas and
Richard J. Duro.
Introducing Long Term Memory in an ANN based Multilevel Darwinist Brain.
In International Work-Conference on Artificial Neural Networks,
pages 590–598, 2003.
(doi:10.1007/3-540-44868-3_75)
- F. L.
Pena, F. Bellas, R. J. Duro, and
M. S. Simon.
Reconstructing irregularly sampled laser Doppler velocimetry signals by using
artificial neural networks.
In Proceedings of the 2nd IEEE International Workshop on Intelligent Data
Acquisition and Advanced Computing Systems: Technology and Applications,
IDAACS 2003, pages 99–105, 2003.
(doi:10.1109/IDAACS.2003.1249526)
- F. Bellas and R. J. Duro.
Some thoughts on the use of sampled fitness functions for the multilevel
Darwinist brain.
Information Sciences, 161(3-4):159–179, 2004.
(doi:10.1016/j.ins.2003.05.004)
- F. Bellas, J. A. Becerra, and
R. J. Duro.
Induced
Behavior in a Real Agent Using the Multilevel Darwinist Brain.
In International Work-Conference on the Interplay Between Natural and
Artificial Computation, pages 425–434, 2005.
(doi:10.1007/11499305_44)
- J. Monroy, Jose A. Becerra,
Francisco Bellas, Richard J. Duro, and
Fernando López-Peña.
A Profiling Based Intelligent Resource Allocation System.
In nternational Conference on Knowledge-Based and Intelligent Information
and Engineering Systems, volume 3681, pages 840–846, 2005.
(doi:10.1007/11552413_120)
- F. Bellas, J. A. Becerra,
and R. J. Duro.
Construction of a Memory Management System in an On-line Learning Mechanism.
Proceedings European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning, pages 26–28,
2006.
- F. Bellas, J. A. Becerra,
and R. J. Duro.
Some
experimental results with a two level memory management system in the
Multilevel Darwinist Brain.
In Proceedings of the European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning, 2006.
- F. Bellas, A. Faiña,
A. Prieto, and R. J. Duro.
Adaptive
Learning Application of the MDB Evolutionary Cognitive Architecture in
Physical Agents.
International Conference on Simulation of Adaptive Behavior, 2006.
(doi:10.1007/11840541)
- Fernando López Peña,
Francisco Bellas, Richard J. Duro, and
María Luisa Sánchez Simón.
Using Adaptive Artificial Neural Networks for Reconstructing Irregularly
Sampled Laser Doppler Velocimetry Signals.
IEEE Transactions on Instrumentation and Measurement,
55(3):916–922, 2006.
(doi:10.1109/TIM.2006.873773)
- J. Monroy, J. A. Becerra,
F. Bellas, and R. J. Duro.
Intelligent virtual interface for improving performance in HPC centers by
modelling users and their satisfaction.
In Proceedings of 2006 IEEE International Conference on Virtual
Environments, Human-Computer Interfaces and Measurement Systems, VECIMS
2006, pages 69–74, 2006.
(doi:10.1109/VECIMS.2006.250793)
- F. López Peña,
F. Bellas, R. J. Duro, and
P. Fariñas.
On
the Analysis of Turbulent Flow Signals by Artificial Neural Networks and
Adaptive Techniques.
Proceedings of the ASME/JSME 2007 5th Joint Fluids Engineering
Conference, pages 41–46, 2007.
(doi:10.1115/FEDSM2007-37403)
- F. Bellas, A. Faina,
G. Varela, and R. J. Duro.
A cognitive developmental robotics architecture for lifelong learning by
evolution in real robots.
In Proceedings of the International Joint Conference on Neural
Networks, 2010.
(doi:10.1109/IJCNN.2010.5596771)
- Francisco Bellas, Richard J.
Duro, Andrés Faiña, and Daniel
Souto.
Multilevel darwinist brain (MDB): Artificial evolution in a cognitive
architecture for real robots.
IEEE Transactions on Autonomous Mental Development, 2(4):340–354,
2010.
(doi:10.1109/TAMD.2010.2086453)
- R. J.
Duro, F. Bellas, and J. A. Becerra.
Evolutionary Architecture for Lifelong Learning and Real-Time Operation in
Autonomous Robots.
In P. Angelov, D. P. Filev, and
N. Kasabov, editors, Evolving Intelligent Systems:
Methodology and Applications, pages 365–400. 2010.
(doi:10.1002/9780470569962.ch16)
- R. J.
Duro, F. Bellas, P. Caamano, and
G. Varela.
Automatic model decomposition and reuse in an evolutionary cognitive
mechanism.
Evolving Systems, 1(2):129–141, 2010.
(doi:10.1007/s12530-010-9012-z)
- B. Santos-Diez, F. Bellas,
A. Faiña, and R. J. Duro.
Lifelong Learning by Evolution in Robotics: Bridging the Gap from Theory to
Reality.
In Proceedings of the IEEE Evolving and Adaptive Intelligent
Systems, 2010.
- R. Salgado, F. Bellas,
P. Caamano, B. Santos-Diez, and
R. J. Duro.
A
procedural Long Term Memory for cognitive robotics.
In Proceedings of the IEEE Conference on Evolving and Adaptive
Intelligent Systems, pages 57–62, 2012.
(doi:10.1109/EAIS.2012.6232805)
- Pilar Caamaño,
Andrés Faíña, Francisco
Bellas, and Richard J. Duro.
Multiscale dynamic learning in cognitive robotics.
Lecture Notes in Computer Science (including subseries Lecture Notes in
Artificial Intelligence and Lecture Notes in Bioinformatics), 7931
LNCS(PART 2):56–65, 2013.
(doi:10.1007/978-3-642-38622-0_6)
- Francisco Bellas, Pilar
Caama??o, Andr??s Fai??a, and Richard J. Duro.
Dynamic learning in cognitive robotics through a procedural long term memory.
Evolving Systems, 5(1):49–63, 2014.
(doi:10.1007/s12530-013-9079-4)
- Richard J. Duro, Francisco
Bellas, José A. Becerra, and Rodrigo
Salgado.
A role for sleep in artificial cognition through deferred restructuring of
experience in autonomous machines.
Lecture Notes in Computer Science (including subseries Lecture Notes in
Artificial Intelligence and Lecture Notes in Bioinformatics), 8575
LNAI:1–10, 2014.
(doi:10.1007/978-3-319-08864-8_1)