Abstract
In the history of artificial intelligence, many controversies have divided the field. The 1970s saw the clash of “logical” AI vs. “procedural” AI, which then became generalized into “neat” AI vs. “scruffy” AI. In the 1980s and 1990s, “connectionist” and “reactive” approaches to AI arose to challenge the predominant paradigm based on reasoning with explicit representations. Perhaps due to the increasing maturity of the field (or its practitioners), such basic disagreements rarely seem to generate as much heated argument as in prior years. Nevertheless, divisions exist today in AI that are at least as fundamental as any of those mentioned above.
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© 2003 Springer-Verlag Berlin Heidelberg
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Moore, R.C. (2003). Two Paradigms for Natural-Language Processing. In: Cappelli, A., Turini, F. (eds) AI*IA 2003: Advances in Artificial Intelligence. AI*IA 2003. Lecture Notes in Computer Science(), vol 2829. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39853-0_45
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DOI: https://doi.org/10.1007/978-3-540-39853-0_45
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