Machine generated contents note: ch. 1 Introduction: Learning to Change -- Preview -- The Constancy of Change -- Natural Selection -- Evolved Behavior -- Reflexes -- Modal Action Patterns -- General ...

The intersection of artificial intelligence, human learning, and behavior change has gained increasing importance in recent years. Traditional adaptive ...

While hypothesis testing is a highly formalized activity, hypothesis generation remains largely informal. We propose a procedure that uses machine learning algorithms—and their capacity to notice ...

Assessing student learning effectively is often complicated by relying on ambiguous proxies such as grades, quiz scores, or assumptions about students' internal states, such as what they feel, think, ...

The researchers' integrative approach addresses this by making integration a design concern from the start. Rather than testing only one hypothesis in one setting, researchers explicitly construct a ...

A recent study provides evidence that some results of behavioral experiments with insects cannot be fully reproduced. So far, possible reproducibility problems have been little discussed in this ...

Cutting-edge machine learning tools reveal hidden patterns in Alzheimer’s disease mouse behavior, opening the door to innovative treatments targeting neuroinflammation. Study: Machine learning reveals ...

Between 1919 and 1920, John B. Watson and Rosalie Rayner conducted a controversial experiment at Johns Hopkins, conditioning ...

At Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences, Yongtao Liu is building AI-driven “closed-loop” nanomaterials experiments that can plan measurements, interpret results in ...