Titlebook: Applications of Learning Classifier Systems; Larry Bull Book 2004 Springer-Verlag Berlin Heidelberg 2004 Agent Modelling.Control.Data Mini

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Stefan Offermanns,Walter Rosenthal.g., Tsoukalas & Uhrig, 1997]. The complex and/or ill-understood nature of many problem domains, such as data mining or process control, has led to the need for technologies which can adapt to the task they face. Learning Classifier Systems (LCS) [Holland, 1976] are a machine learning technique whic

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Stefan Offermanns,Walter Rosenthalents of data, interpreted by individuals as information, that exists in many forms (written, social, roles, images, ...) throughout an organization. Large volumes of data are now available to organizations, and increasing volumes are being collected — the world’s data is estimated to be doubling eve

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https://doi.org/10.1007/3-540-29835-5lems (as testified by several chapters in this book). Based on seminal ideas due to Holland (1976, 1980), they gradually evolve rulesets, which either model a static dataset, or model actions (and chains of actions) in an environment. Comprehensive tutorial and survey material on this rapidly growin

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https://doi.org/10.1007/3-540-29835-5ning process, and combat simulation. Despite the difficulties often experienced with LCSs, this complex, real-world application has proved very successful. In effect, the adaptive system is taking the place of a test pilot, in discovering complex maneuvers from experience. The goal of this work is d

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Encyclopedic Reference of Parasitologyement towards one large EU-wide market began in 1996 with EU Directive 96/92, which sets out common rules and targets concerning competition, unbundling and transparency. However, the particular nature of electricity generation and supply means some form of regulation and market mechanism based cont

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https://doi.org/10.1007/3-540-29835-5 RL, while few in the context of LCSs. However, LCSs are applied to many real-world problems, while RL is rarely applied. Examples of LCSs include aircraft maneuvers [10, 19], the controller or action planning of a physical robot [7, 20], trading in the stock market [17], electric power distribution

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https://doi.org/10.1007/3-540-29835-5works, for example: routing in multiprocessor computer systems (e.g. MIMD processors); dynamic task allocation in distributed client/server systems; control of power flow in electrical power distribution networks; and adaptive distributed routing in packet-switched communication networks. It is this

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