Shultz, T. R. (1996). A generative neural network analysis of conservation. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 65-66). Mahwah, NJ: Erlbaum.



This is a brief report on the simulation of five well known conservation phenomena with neural networks constructed by the cascade-correlation algorithm: (1) shift from nonconservation to conservation beliefs (acquisition effect), (2) emergence of correct conservation judgments for small quantities before larger quantities (problem size effect), (3) conservation of discrete quantities before continuous quantities (discrete advantage effect), (4) nonconservers' choice of the longer row as having more items than the shorter row (length bias effect), and (5) younger children conserving until they see the results of the transformation (screening effect).


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