Titlebook: Research-Based Learning: Case Studies from Maastricht University; Ellen Bastiaens,Jonathan van Tilburg,Jeroen van Me Book 2017 Springer In

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Herco Fonteijn,Arie van der Lugtng on the output language, we can divide all approaches to automatic knowledge acquisition into two categories: symbolic and non-symbolic. Non-symbolic systems do not represent knowledge explicitly. For example, in statistical models knowledge is represented as a set of examples together with some s

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Pieter A. J. Caljéction 11.3), and partitioning problems (Section 11.4). The described systems and the results of their applications provide an additional argument to support the evolution programming approach, which promotes creation of data structures together with operators for a particular class of problems.

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Annemieke Klijn,Ernst Homburg individuals (potential solutions) undergoes a sequence of unary (muta- tion type) and higher order (crossover type) transformations. These individuals strive for survival: a selection scheme, biased towards fitter individuals, selects the next generation. After some number of generations, the progr

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Bram Akkermansection 11.3), and partitioning problems (Section 11.4). The chapter concludes with a section on path planning problem in mobile robot environment (Section 11.5). The described systems and the results of their applications provide an additional argument to support the evolution programming approach,

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Nico Roosection 11.3), and partitioning problems (Section 11.4). The chapter concludes with a section on path planning problem in mobile robot environment (Section 11.5). The described systems and the results of their applications provide an additional argument to support the evolution programming approach,

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Jan Nijhuisection 11.3), and partitioning problems (Section 11.4). The chapter concludes with a section on path planning problem in mobile robot environment (Section 11.5). The described systems and the results of their applications provide an additional argument to support the evolution programming approach,

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ection 11.3), and partitioning problems (Section 11.4). The chapter concludes with a section on path planning problem in mobile robot environment (Section 11.5). The described systems and the results of their applications provide an additional argument to support the evolution programming approach,

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