Artículos de revistas
An Immune Learning Classifier Network For Autonomous Navigation
Registro en:
Lecture Notes In Computer Science (including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics). , v. 2787, n. , p. 69 - 80, 2003.
3029743
2-s2.0-35248893427
Autor
Vargas P.A.
De Castro L.N.
Michelan R.
Von Zuben F.J.
Institución
Resumen
This paper proposes a non-parametric hybrid system for autonomous navigation combining the strengths of learning classifier systems, evolutionary algorithms, and an immune network model. The system proposed is basically an immune network of classifiers, named CLARINET. CLARINET has three degrees of freedom: the attributes that define the network cells (classifiers) are dynamically adjusted to a changing environment; the network connections are evolved using an evolutionary algorithm; and the concentration of network nodes is varied following a continuous dynamic model of an immune network. CLARINET is described in detail, and the resultant hybrid system demonstrated effectiveness and robustness in the experiments performed, involving the computational simulation of robotic autonomous navigation. © Springer-Verlag Berlin Heidelberg 2003. 2787
69 80 Booker, L.B., Goldberg, D.E., Holland, J.H., Classifier Systems and Genetic Algorithms (1989) Artificial Intelligence, 40, pp. 235-282 De Castro, L.N., Timmis, J.I., (2002) Artificial Immune Systems: A New Computational Intelligence Approach, , Springer-Verlag: London Dorigo, M., Colombetti, M., (1997) Robot Shaping: An Experiment in Behavior Engineering (Intelligent Robotics and Autonomous Agents), , MIT Press Farmer, J.D., Packard, N.H., Perelson, A.S., The Immune System, Adaptation and Machine Learning (1986) Physica, 22 D, pp. 187-204 Härdle, W., (1990) Applied Nonparametric Regression, , Cambridge University Press Holland, J.H., (1992) Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, , The MIT Press, Ann Arbor, MI.91 Jerne, N.K., Towards a Network Theory of the Immune System (1974) Ann. Immunol. (Int. Pasteur), 125 C, pp. 373-389 Learning Classifier Systems (2000) LNAI, 1813. , Lanzi, P. L., Stolzmann, W. & Wilson, S. W., editors From Foundations to Applications, Springer-Verlag, Berlin Advances in Learning Classifier Systems (2001) LNAI, 1996. , Lanzi, P. L., Stolzmann, W. & Wilson, S. W., editors Springer-Verlag, Berlin Michelan, R., Von Zuben, F.J., Decentralized Control System for Autonomous Navigation based on an Evolved Artificial Immune Network (2002) Proc. of the CEC'2002, 2, pp. 1021-1026 Nolfi, S., Floreano, D., (2000) Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines, , The MIT Press Watanabe, Y., Ishiguro, A., Uchikawa, H., Decentralized Behaviour Arbitration Mechanism for Autonomous Mobile Robot Using Immune Network (1999) Artificial Immune Systems and Their Applications, , D. Dasgupta (Editor), Springer