A cognitive architecture that solves a problem stated by Minsky

We named "Minsky's problem" the challenge of building up a cognitive architecture able to perform a good diagnosis based on multiple criteria that arrive one by one as successive clues. This is a remarkable human information processing capability, and a desirable ability for an artificial expert system. We present a general cognitive design that solves Minsky's problem and a neural network implementation of it that uses distributed associative memories. The type of architecture we present is based on the interaction between an "attribute-object associator (AOA)" and an "intersection filter (IF)" of successive evoked objects, with the intermediation of a working (short-term) memory.

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