Abstract

The intersection of Artificial Intelligence (AI) and Cognitive Psychology has emerged as a promising and dynamic research field, offering new insights into human cognition, behavior, and mental processes. This review paper explores the various intersections between AI and cognitive psychology, focusing on the role of AI in modeling cognitive processes, enhancing experimental methodologies, and improving diagnostic tools We examine how AI contributes to understanding attention, memory, perception, language, and decision-making, and we explore current challenges and future directions for AI in cognitive research.The review also addresses challenges, ethical concerns, and future possibilities in this interdisciplinary field.

References

1. Anderson, J. R. (2007). How Can the Human Mind Occur in the Physical Universe? Oxford University Press.
2. He, K., Zhang, X., Ren, S., & Sun, J. (2015). Deep Residual Learning for Image Recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
3. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning Representations by Backpropagating Errors. Nature, 323(6088), 533–536.
4. OpenAI. (2020). Language Models are Few-Shot Learners. In Proceedings of the 34th International Conference on Neural Information Processing Systems (NeurIPS).