THE RANDOM ADAPTIVE MODULE (RAM): A FORMAL SYSTEM FOR S-R MODELING WITH APPLICATIONS TO SCHEMA THEORY.
TEXAS CHRISTIAN UNIV FORT WORTH INST FOR THE STUDY OF COGNITIVE SYSTEMS
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A method of model construction is proposed to facilitate the achievement of relatively complex processes by combinations of basic stimulus-response S-R units. A basic process resembling stimulus-response learning is used to construct a model capable of learning to recognize and reproduce a pattern or schema. In the context of schema theory, this model is further developed to simulate the process of learning to distinguish one schema from another schematic concept formation. Results of a computer simulation and comparison with human performance are reported substantial correspondence is demonstrated between the human performance and that of the model. Author