Which Statement About a Connectionist Model Is False

question 61

Multiple Choice

Which statement about a connectionist model is false?

• A) The connectionist model assumes that a given node representing a feature can be connected to multiple nodes representing categories and that a given category node can be connected to multiple different feature nodes.
• B) Networks may contain a layer of "hidden units" that enable particular compounds of feature nodes to predict something different from either single inputs or inputs from other feature compounds.
• C) The most efficient connectionist models assume that a novel "configural input" is formed to represent each unique set of feature compounds
• D) Connectionist models that are similar to the Rescorla-Wagner model cannot predict the extraction of a rule that describes a general outcome when the subject has merely been exposed to a series of learning trials.

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