Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
An introduction to fuzzy control
An introduction to fuzzy control
ACM Computing Surveys (CSUR)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The New Hacker's Dictionary, 2nd Ed.
The New Hacker's Dictionary, 2nd Ed.
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Classifier fitness based on accuracy
Evolutionary Computation
An observer/controller architecture for adaptive reconfigurable stacks
ARCS'05 Proceedings of the 18th international conference on Architecture of Computing Systems conference on Systems Aspects in Organic and Pervasive Computing
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Protocol stacks for small devices like mobile phones have to fulfill multiple functions in different environments. This has lead to highly complex solutions with alternative stacks. It is more economical to construct new stacks from building blocks on the fly depending on the current requirements. Such an adaptive architecture is an example of an organic computing system. In this paper we show how a proposed monitoring architecture for adaptive protocol stacks fits into the observer/controller pattern of organic computing. The protocol stack framework and the observer/controller pattern are briefly described. Subsequently the observer/controller pattern is mapped onto the framework architecture. Two implementations for monitoring agents are described, a finite state machine solution and a fuzzy classifier approach. The fuzzy classifier system is described in detail. It is shown that a finite state machine and a standard Markovian classifier system can be generalised into a non-Markovian learning classifier system, combining the advantages of both parents