Individuation, Identification and Object Discovery

Kemp, Charles, Jern, Alan, Xu, Fei

Neural Information Processing Systems 

Humans are typically able to infer how many objects their environment contains and to recognize when the same object is encountered twice. We present a simple statisticalmodel that helps to explain these abilities and evaluate it in three behavioral experiments. Our first experiment suggests that humans rely on prior knowledge when deciding whether an object token has been previously encountered. Oursecond and third experiments suggest that humans can infer how many objects they have seen and can learn about categories and their properties even when they are uncertain about which tokens are instances of the same object. From an early age, humans and other animals [1] appear to organize the flux of experience into a series of encounters with discrete and persisting objects.

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