Title :
Defining meta-adaptable living agents
Author :
López, Natalia ; Rodríguez, Ismael ; Rubio, Fernando
Author_Institution :
Dept. Sistemas Informaticos y Programacion, Univ. Complutense, Madrid, Spain
Abstract :
In this paper, we formally present a methodology that, by using genetics, allows us to adapt the optimal intelligence of the elements conforming a living system. We call these environments meta-adaptable systems. We propose systems in which the capability of the agents to adapt themselves to the environment (via intelligence) is itself adapted according to the changes of their own environment. We show a simple but illustrative example of such a meta-adaptable system, which can be easily extended to deal with more real situations as the construction of software systems based on intelligent mobile agents. This system has been fully implemented, and some interesting conclusions have been extracted from it.
Keywords :
adaptive systems; artificial life; learning systems; living systems; mobile agents; genetics; intelligent mobile agents; living agents; living system; meta-adaptable agents; meta-adaptable systems; methodology; optimal intelligence; software systems; Biological system modeling; Cognitive informatics; Computer science; Dinosaurs; Genetic algorithms; Intelligent agent; Intelligent systems; Mobile agents; Software systems;
Conference_Titel :
Cognitive Informatics, 2003. Proceedings. The Second IEEE International Conference on
Print_ISBN :
0-7695-1986-5
DOI :
10.1109/COGINF.2003.1225975