AIMC Topic: Thinking

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Predicting task-general mind-wandering with EEG.

Cognitive, affective & behavioral neuroscience
Mind-wandering refers to the process of thinking task-unrelated thoughts while performing a task. The dynamics of mind-wandering remain elusive because it is difficult to track when someone's mind is wandering based only on behavior. The goal of this...

The fork in the road.

The Behavioral and brain sciences
Machines that learn and think like people should simulate how people really think in their everyday lives. The field of artificial intelligence originally traveled down two roads, one of which emphasized abstract, idealized, rational thinking and the...

Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human-like learning.

The Behavioral and brain sciences
Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous lear...

Understand the cogs to understand cognition.

The Behavioral and brain sciences
Lake et al. suggest that current AI systems lack the inductive biases that enable human learning. However, Lake et al.'s proposed biases may not directly map onto mechanisms in the developing brain. A convergence of fields may soon create a correspon...

Thinking like animals or thinking like colleagues?

The Behavioral and brain sciences
We comment on ways in which Lake et al. advance our understanding of the machinery of intelligence and offer suggestions. The first set concerns animal-level versus human-level intelligence. The second concerns the urgent need to address ethical issu...

What can the brain teach us about building artificial intelligence?

The Behavioral and brain sciences
Lake et al. offer a timely critique on the recent accomplishments in artificial intelligence from the vantage point of human intelligence and provide insightful suggestions about research directions for building more human-like intelligence. Because ...

Children begin with the same start-up software, but their software updates are cultural.

The Behavioral and brain sciences
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 ...

Back to the future: The return of cognitive functionalism.

The Behavioral and brain sciences
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...