Researchers have developed an AI called Centaur that accurately predicts human behavior across virtually any psychological ...

To better understand human cognition, scientists trained a large language model on 10 million psychology experiment questions ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

New research proposes a unified theory of brain function based on criticality—a state where the brain teeters between order ...

Observation in early education is far more than watching children play. It involves closely examining behaviors, interactions ...

Tension: Marketers rely on data to guide SEO—but many still feel like they’re guessing in a world where user behavior is ...

Automated guided vehicles (AGVs) are considered as an enabling technology to realize smart manufacturing in the upcoming Industrial 4.0 era. However, several challenges including efficiency, ...

Machine learning is specifically about learning—learning from examples, from definitions, from being told, and from behavior. The easiest way to think of their relationship is to visualize them as ...

This survey paper studies different motion and behavior learning methods ranging from movement primitives (MPs) to experience abstraction (EA), applied to different robotic tasks. These methods are ...

For decades, researchers have been searching for variables that influence behavior and identifying those that have the greatest impact on it (Strydom, 2018). TPB provides more insight into the ...