We propose that early in ontogeny, children's core cognitive abilities are shaped by culturally dependent "software updates." The role of sociocultural inputs in the development of children's learning is largely missing from Lake et al.'s discussion ...
The claims that learning systems must build causal models and provide explanations of their inferences are not new, and advocate a cognitive functionalism for artificial intelligence. This view conflates the relationships between implicit and explici...
In this commentary, we highlight a crucial challenge posed by the proposal of Lake et al. to introduce key elements of human cognition into deep neural networks and future artificial-intelligence systems: the need to design effective sophisticated ar...
Researchers, motivated by the need to improve the efficiency of natural language processing tools to handle web-scale data, have recently arrived at models that remarkably match the expected features of human language processing under the Now-or-Neve...
Prior language input is not lost but integrated with the current input. This principle is demonstrated by "reservoir computing": Untrained recurrent neural networks project input sequences onto a random point in high-dimensional state space. Earlier ...
Insufficient attention has been paid to the use of robots in classrooms. Robot "teachers" are being developed, but because Kline ignores such technological developments, it is not clear how they would fit within her framework. It is argued here that ...