Probabilistic Models of Cognition

by Noah D. Goodman, Joshua B. Tenenbaum

In this book, we explore the probabilistic approach to cognitive science, which models learning and reasoning as inference in complex probabilistic models. In particular, we examine how a broad range of empirical phenomena in cognitive science (including intuitive physics, concept learning, causal reasoning, social cognition, and language understanding) can be modeled using a functional probabilistic programming language called Church.

Genres: Artificial Intelligence

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Reviews

[Xiaoyan · Rating 5 out of 5]

A great introductory book for probabilistically programming and cognitive modeling :). Being able to play with the examples and try things out in WebPPL interactively really help a lot in enhancing the understanding of the object matter.

[Ozzie Gooen · Rating 5 out of 5]

I found the examples quite illuminating and useful. I really would like to see further extensions of this kind of work, but am not familiar with much more that's similar.