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McClelland, James L.; Thompson, Richard M. – Developmental Science, 2007
A connectionist model of causal attribution is presented, emphasizing the use of domain-general principles of processing and learning previously employed in models of semantic cognition. The model categorizes objects dependent upon their observed 'causal properties' and is capable of making several types of inferences that 4-year-old children have…
Descriptors: Semantics, Probability, Inferences, Models