Connectionist machines
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1) Connectionist machines are large networks of simple parallel computing elements, each of which carries a numerical activation value which it computes from the values of neighboring elements in the network. This is accomplished by means of a simple numerical formula. the network elements are called units, and they influence one another's values through connections that carry a numerical strength, or weight. If a unit has a positive activation value, its influence on the value of a neighbor is positive if its weight is negative. Input in the typical connectionist model is provided by imposing activation values on the input units of the network. These are numerical values that represent some encoding, or representation, of the input, and the activation on the input units propagates along the connections until some set of activation values emerges on the output units. These activation values encode the output the system computes from the input. There may be other units between the input and the output, and these are
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Some common words found in the essay are:
, Fodor Pylyshin, Fodor Pylyshin's, subsymbolic paradigm, connectionist models, symbolic paradigm, input units, hidden units, classical models, activation values, descriptions built entities, ability entertain, subconceptual level, cognitive descriptions, cognitive descriptions built, smolensky subsymbolic paradigm,
Approximate Word count = 693
Approximate Pages = 3 (250 words per page)
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