Abstract
With the spreading of intelligent machines, man-machine communication has become an important research area. Today, intelligent robots co-operating with humans usually have to be able to store, retrieve, and update information about their environment, interpret and execute commands, offer existing and gain/learn new services. In these processes, the efficient knowledge representation and storage are of key importance. In this paper, a new graph based modular knowledge storage and representation form is presented which is able to handle inaccurate and ambiguous information, to store, retrieve, modify, and extend theoretical and practical knowledge, to interpret commands, and to learn new cognitions.
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Várkonyi-Kóczy, A.R., Tusor, B., Rudas, I.J. (2014). Knowledge Representation in ISpace Based Man-Machine Communication. In: Jamshidi, M., Kreinovich, V., Kacprzyk, J. (eds) Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-03674-8_23
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DOI: https://doi.org/10.1007/978-3-319-03674-8_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03673-1
Online ISBN: 978-3-319-03674-8
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