Neural-Net Implementation of Complex Symbol-Processing in a Mental Model Approach to Syllogistic Reasoning
نویسنده
چکیده
A neural net system called "Conposi t " is described. Conposit performs rule-based manipulation of very short term, complex symbolic data structures. This paper concentrates on a simulated version of Conposit that embodies core aspects of JohnsonLaird's mental model theory of syllogistic reasoning. This Conposit version is not intended to be a psychological theory, but rather to act as a test and demonstration of the power and flexibility of Conposit's unusual connectionist techniques for encoding the structure of data.
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