Childhood as a solution to explore–exploit tensions
A Gopnik - … Transactions of the Royal Society B, 2020 - royalsocietypublishing.org
I argue that the evolution of our life history, with its distinctively long, protected human
childhood, allows an early period of broad hypothesis search and exploration, before the …
childhood, allows an early period of broad hypothesis search and exploration, before the …
Contextual inference in learning and memory
Context is widely regarded as a major determinant of learning and memory across
numerous domains, including classical and instrumental conditioning, episodic memory …
numerous domains, including classical and instrumental conditioning, episodic memory …
Simulation intelligence: Towards a new generation of scientific methods
A Lavin, D Krakauer, H Zenil, J Gottschlich… - ar** in human cognition
To tackle a hard problem, it is often wise to reuse and recombine existing knowledge. Such
an ability to bootstrap enables us to grow rich mental concepts despite limited cognitive …
an ability to bootstrap enables us to grow rich mental concepts despite limited cognitive …
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 …
Generalization guides human exploration in vast decision spaces
From foraging for food to learning complex games, many aspects of human behaviour can
be framed as a search problem with a vast space of possible actions. Under finite search …
be framed as a search problem with a vast space of possible actions. Under finite search …
Developmental changes in exploration resemble stochastic optimization
Human development is often described as a 'cooling off'process, analogous to stochastic
optimization algorithms that implement a gradual reduction in randomness over time. Yet …
optimization algorithms that implement a gradual reduction in randomness over time. Yet …