The naïve utility calculus: Computational principles underlying commonsense psychology
We propose that human social cognition is structured around a basic understanding of
ourselves and others as intuitive utility maximizers: from a young age, humans implicitly …
ourselves and others as intuitive utility maximizers: from a young age, humans implicitly …
How to grow a mind: Statistics, structure, and abstraction
In coming to understand the world—in learning concepts, acquiring language, and gras**
causal relations—our minds make inferences that appear to go far beyond the data …
causal relations—our minds make inferences that appear to go far beyond the data …
Towards a rational constructivist theory of cognitive development.
F Xu - Psychological review, 2019 - psycnet.apa.org
This article provides a synthesis and overview of a theory of cognitive development, rational
constructivism. The basic tenets of this view are as follows:(a) Initial state: Human infants …
constructivism. The basic tenets of this view are as follows:(a) Initial state: Human infants …
Rational snacking: Young children's decision-making on the marshmallow task is moderated by beliefs about environmental reliability
Children are notoriously bad at delaying gratification to achieve later, greater rewards (eg,
Piaget, 1970)—and some are worse at waiting than others. Individual differences in the …
Piaget, 1970)—and some are worse at waiting than others. Individual differences in the …
First language acquisition
It is with renewed appreciation for the size of the task that I come to writing the present
chapter. The number of special issues of journals dedicated to im/politeness these days …
chapter. The number of special issues of journals dedicated to im/politeness these days …
A Bayesian foundation for individual learning under uncertainty
Computational learning models are critical for understanding mechanisms of adaptive
behavior. However, the two major current frameworks, reinforcement learning (RL) and …
behavior. However, the two major current frameworks, reinforcement learning (RL) and …
A rational account of pedagogical reasoning: Teaching by, and learning from, examples
Much of learning and reasoning occurs in pedagogical situations—situations in which a
person who knows a concept chooses examples for the purpose of hel** a learner …
person who knows a concept chooses examples for the purpose of hel** a learner …
Probabilistic models of cognition: Exploring representations and inductive biases
Cognitive science aims to reverse-engineer the mind, and many of the engineering
challenges the mind faces involve induction. The probabilistic approach to modeling …
challenges the mind faces involve induction. The probabilistic approach to modeling …
Word learning as Bayesian inference.
The authors present a Bayesian framework for understanding how adults and children learn
the meanings of words. The theory explains how learners can generalize meaningfully from …
the meanings of words. The theory explains how learners can generalize meaningfully from …
Self-directed learning: A cognitive and computational perspective
A widely advocated idea in education is that people learn better when the flow of experience
is under their control (ie, learning is self-directed). However, the reasons why volitional …
is under their control (ie, learning is self-directed). However, the reasons why volitional …