Abstract
A way of integrating different information-processing methods is discussed. By analyzing various methods a possible way of integrating dynamically these methods is studied. A special processor to combine different methods is necessary for integration. It is called an integrator. Among various information-processing methods, only declarative knowledge-based method is suited for an integrator. Then the realistic way of developing the integrator is discussed. Even with this integrator however the scope of actual integration is limited because of a big gap existing between symbolic and non-symbolic methods of information processing. The difference between symbolic and non-symbolic methods is clarified by representing them by the same mathematical formula and based on this result a possible extension of knowledge-based processing is proposed in order to expand the scope of integration.
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© 2001 Physica-Verlag Heidelberg
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Ohsuga, S. (2001). Integration of Different Information Processing Methods. In: Furuhashi, T., Tano, S., Jacobsen, HA. (eds) Deep Fusion of Computational and Symbolic Processing. Studies in Fuzziness and Soft Computing, vol 59. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1837-6_2
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DOI: https://doi.org/10.1007/978-3-7908-1837-6_2
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-662-00373-2
Online ISBN: 978-3-7908-1837-6
eBook Packages: Springer Book Archive