Computational cognitive models typically focus on individual behavior in isolation. Models frequently employ closedform solutions in which a state of the system can be computed if all parameters and ...

Exploring how to get the answers and information we want from LLMs, in the way that we need.

Combining large language models with traditional methods enhances accuracy in identifying early signs of cognitive decline, offering new hope for early diagnosis ...

This research presents a groundbreaking approach to addressing the zero-shot cross-domain cognitive diagnosis (ZCCD) challenge in intelligent education systems through the innovative application of ...

For AI to truly be groundbreaking for neuroscience, Pavlick asserted, it is essential to understand how the machine itself ...

As artificial intelligence (AI) plays a more central role in our lives, large language models (LLMs) are emerging not just as tools but as transformative partners in cognitive processes. Central to ...

Cognitive Diagnosis (CD) plays a crucial role in personalized learning by evaluating students' mastery of various concepts.

Cognition holds because difficulty demands patience. What happens when AI no longer requires us to sustain engagement and delay resolution?