We propose a new version of the “theory theory” grounded in the computational framework
of probabilistic causal models and Bayesian learning. Probabilistic models allow a …

New theoretical ideas and empirical research show that very young children's learning and
thinking are strikingly similar to much learning and thinking in science. Preschoolers test …

Developmental psychologists coined the term" theory of mind" to describe how we
understand our shifting mental states in daily life. Over the past twenty years researchers …

The network approach to psychopathology is becoming increasingly popular. The motivation
for this approach is to provide a replacement for the problematic common cause perspective …

Is it possible to learn something without being aware of it? How does emotion influence the
way we think? How can we improve our memory? Fundamentals of Cognition, third edition …

Since the first edition of this book published, Bayesian networks have become even more
important for applications in a vast array of fields. This second edition includes new material …

Written by one of the preeminent researchers in the field, this book provides a
comprehensive exposition of modern analysis of causation. It shows how causality has …

This book introduces multiple-latent variable models by utilizing path diagrams to explain
the underlying relationships in the models. This approach helps less mathematically inclined …

The fully updated eighth edition of Cognitive Psychology: A Student's Handbook provides
comprehensive yet accessible coverage of all the key areas in the field ranging from visual …

Bayesian networks are graphical structures for representing the probabilistic relationships
among a large number of variables and doing probabilistic inference with those variables …