Abstract
One of the first issues raised by the panel was the proper definition of the field of artificial intelligence. Some of the panelists shared the opinion that there exist two levels in this field:
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1.
AI engineering, also called weak AI, which is focused to find the solution of specified problems usually associated with human intelligence, for example, scene recognition or speech recognition. Many of these problems share several disciplines, e.g., signal processing, information theory, pattern recognition or logic.
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2.
Art or science AI, also called strong AI, which is oriented towards philosophic and metaphysic processes of natural intelligence, i.e., to understand the meaning of the concepts or to emulate the human intelligence process.
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© 1988 Springer-Verlag Berlin Heidelberg
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Ferraté, G. (1988). Panel: Artificial Intelligence Versus Syntactic Techniques: Theoretical and Practical Issues. In: Ferraté, G., Pavlidis, T., Sanfeliu, A., Bunke, H. (eds) Syntactic and Structural Pattern Recognition. NATO ASI Series, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83462-2_30
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DOI: https://doi.org/10.1007/978-3-642-83462-2_30
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