|Theory of neural networks as an explanation for mind states.:_____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. |
neural networks / Fodor: work quite unlike computer (and computation) - namely associative - V 152 learning: here n.n. are superior to computers where program and data are separated - V 155
Vsneural networks: they cannot explain the systematic nature and productivity of thinking -
artificial neural networks / Pauen: Back Programming: rtroactive effect of information.
Punch line: weight of compounds can be differentiated - learning: here the intervention of the experimenter is needed - large fault tolerance - strength: pattern recognition._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution.
Grundprobleme der Philosophie des Geistes Frankfurt 2001