| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 486318 | Procedia Computer Science | 2014 | 6 Pages |
Abstract
Jean Piaget explained equilibration as the process by which individuals create cognitive structures to compensate for disturbances encountered during their interactions with the world. Using Neural Propositions as its basic unit of representation, the Piagetian Autonomous Modeler (PAM.P2) is a cognitive system that employs equilibration to refine its world model as it compensates for disturbances encountered in its environment. Equilibration is discussed and contrasted with other learning approaches. PAM.P2's implementation of equilibration is reviewed.
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