By Urban Maximilian Richter
The complexity of technical structures raises, breakdowns ensue more often than not. The project of natural computing is to tame those demanding situations by means of offering levels of freedom for self-organised behaviour. to accomplish those ambitions, new equipment must be built. The proposed observer/controller structure constitutes a method to accomplish managed self-organisation. to enhance its layout, multi-agent situations are investigated. specifically, studying utilizing studying classifier platforms is addressed.
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Additional info for Controlled self-organisation: Using learning classifier systems
1 Motivation As mentioned in [BMMS+ 06], the impressive progress in computing technology over the past decades has not only led to an exponential increase in available computing power, but also to a shrinking of computer chips to a miniature format. While only twenty years ago, the predominant computing platform was a company mainframe shared by many users, today, a multitude of embedded computing devices surrounds us, including PDA, cell phone, digital camera, navigation system, MP3-player, etc.
Even if the concept of self-organisation is very promising to solve complex problems, as explained in [Ger07], the notion of self-organisation will remain somewhat vague, and discussion has been widespread. The extensive FAQ-list1 is a good link to research that has been done so far. The term self-organisation is used frequently, but a generally accepted meaning has not emerged. As the list grows, it becomes increasingly difficult to decide whether these phenomena are all based on the same process, or whether the same label has been applied to several different processes.
This is used to control manufacturing machines or to generate executable code. However, because today’s technical systems become more and more complex, it seems to be impossible to predict all system states and designing top-down is no longer feasible. In comparison, in the bottom-up approach the design starts with specifying requirements and capabilities of individual components, and the global behaviour emerges out of interactions among constituent components and between components and the environment.