Anthony V. Robins

Anthony V. Robins is a Professor in the Department of Computer Science at the University of Otago, New Zealand. His work spans neural networks, computational cognition, computer science education, and machine learning. With over three decades of publication history, Robins has contributed to understanding catastrophic forgetting, prototype analysis, and reinforcement learning in artificial neural networks.

His recent research (2024-2025) focuses on Hopfield networks and Boltzmann neural networks, particularly their applications in state classification, supra-classical logic, and sequential learning. Collaborations with researchers like Hayden McAlister and Lech Szymanski highlight his work in memory systems and Hebbian learning.

Robins has also made significant contributions to high school computing education in New Zealand, analyzing curriculum implementation, student perspectives, and teacher challenges through publications in venues like ACM Trans. Comput. Educ. and ACE. His work on self-regulated learning and educational frameworks addresses systemic issues in computing education.