Zusammenfassung
Im Rahmen eines vom BMFT geförderten Verbundprojektes „Wissensverarbeitung in neuronaler Architektur“ wird die Integration konnektionistischer Modelle mit symbolischer Wissensverarbeitung erforscht. Die anvisierten Bereiche für eine Integration sind: probabilistisches Schließen, die Einbeziehung. nichtsymbolischer Wissensquellen (Daten aus physikalischen Prozessen; Meßdaten), eine Uberführung gelernten Wissens in symbolische Form (maschinelles Lernen, Regelextraktion) und Information Retrieval.
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Palm, G., Rückert, U., Ultsch, A. (1991). Wissensverarbeitung in neuronaler Architektur. In: Brauer, W., Hernández, D. (eds) Verteilte Künstliche Intelligenz und kooperatives Arbeiten. Informatik-Fachberichte, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76980-1_48
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