PSYC 205 Lecture Notes - Lecture 8: Rais, Aspet, Associationism

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The generative processes of the causal interaction are not apparent. Kant/ michotte- argued causal relations do have a special form or spatiotemporal pattern that is detected. R-o associations suggest that an animal connects what they did with what happened. Dickinson- humans and animals use associative mechanisms to learn about causal relations; causal learning is thus a byproduct of associative learning: associative strength is considered functionally as causal strength. Through a- extinction trials, rats learned that a was not the cause and inferred that x, thus, must be the cause of water presentation. By extension, y was also inferred to be non-causal. Causal bayes nets- causal structures of the world are depicted with graphs. How might an individual infer a causal structure from input in the environment: one might experience events in the environment that covary, yet this information must be translated into a representation of the causal relationships.

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