Abstract
In Chapter 3, the knowledge implementation is defined in the context of both human learning and machine learning. The term the knowledge implementation introduced in this book is refering to learning of the knowledge and skills by the machine, the shape understanding system (SUS). It is concerned with two main aspects of human learning: learning of visual knowledge in the context of the categorical structure of the learned categories of the visual objects and learning of the knowledge that is connected with understanding of the content of the text. The knowledge implementation is part of the shape understanding method, developed by authors [1] that stresses the importance of the knowledge acquisition in understanding and thinking processes. In this Chapter some aspects of the shape understanding method, that allow for better understanding of the knowledge implementation approach, are presented.
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© 2013 Springer Berlin Heidelberg
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Les, Z., Les, M. (2013). Shape Understanding Method. In: Shape Understanding System – Knowledge Implementation and Learning. Studies in Computational Intelligence, vol 425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29697-0_5
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DOI: https://doi.org/10.1007/978-3-642-29697-0_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29696-3
Online ISBN: 978-3-642-29697-0
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