Fuzzy neural networks: a survey
Fuzzy Sets and Systems
Lindenmayer Systems: Impacts on Theoretical Computer Science, Computer Graphics, and Developmental Biology
Introducing the Golden Section to Computer Science
ICCI '02 Proceedings of the 1st IEEE International Conference on Cognitive Informatics
Including Malicious Agents into a Collaborative Learning Environment
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
ICCI '02 Proceedings of the 1st IEEE International Conference on Cognitive Informatics
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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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 themself 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.