Grossberg, Stephen


Towards a Unified Theory of Mind and Brain

AAAI Conferences

A unified theory of how brains give rise to minds has been getting steadily developed for 60 years. This theory has explained data from thousands of interdisciplinary experiments, and scores of its predictions have been confirmed. The theory includes new computational paradigms called Complementary Computing and Laminar Computing that clarify the global organization of brain dynamics and behavior. It uses a small number of basic equations and modules to form modal architectures that model different modalities of intelligence. One of its models, Adaptive Resonance Theory, or ART, is currently the most advanced cognitive and neural theory of how advanced brains incrementally and stably learn to attend, recognize, and predict objects and events in a changing world. All the basic ART predictions have been confirmed by psychological and neural data. These results provide a firm foundation for further development of a Standard Theory of the Mind.


Autonomous Adaptive Brain Systems and Neuromorphic Agents

AAAI Conferences

Models which embody brain design principles and mechanisms that subserve visual perception, cognition, emotion, and action have clarified how the brain can adapt in real time to changing environmental conditions. The brain’s ability to do this in a self-stabilizing fashion employs several different types of predictive mechanisms. The present talk will discuss recent progress towards explaining various of these processes, and how they are being transferred to large-scale applications in technology.




Review of Perceptrons

AI Magazine

The first page of the prologue to this book is studded with sweeping statements that are not supported by the facts.