Abstract
Programming based on algorithmic pictures is an approach where pictures and moving pictures are used as super-characters for representing and explaining features of computational algorithms. Generic pictures are used to define compound pictures and compound pictures are assembled into special series for representing algorithmic features. Programming in algorithmic pictures is supported by F-modeling environment which functionality supports knowledge/experience acquisition through special galleries and libraries of an open type. Such acquisition permanently enhances intelligent aspects of the environment in general and allows obtaining necessary features required by special applications. In this paper a case study of transferring knowledge/experience into F-modeling environment is considered. It is based on introducing a set of new picture-based constructs for programming systems of robotic and embedded types.
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Watanobe, Y., Mirenkov, N. (2013). F-Modeling Environment: Acquisition Techniques for Obtaining Special-Purpose Features. In: Madaan, A., Kikuchi, S., Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2013. Lecture Notes in Computer Science, vol 7813. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37134-9_14
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DOI: https://doi.org/10.1007/978-3-642-37134-9_14
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