The New Associationism: Lessons from Deep Learning

1. 1Read the arXiv paper 2606.20600v1 to understand the central argument
2. 2Analyze the role of supervised learning in contemporary AI systems
3. 3Apply the principles of associationism to your own AI models or research on human learning
4. 4Evaluate the limitations and potential of using AI as a model for human learning
5. 5Integrate the findings with existing knowledge on cognitive science and AI

AI engineers and researchers can benefit from this insight to improve their models, while cognitive scientists can apply these findings to human learning and behavior

💡 Supervised learning underlies many contemporary AI systems, supporting a modest associationism

🤖 AI's success can inform human learning: associationism is back! 💡