Understanding Capacity in the Human and the Machine

Abstract

For millennia, questions concerning human understanding capacity have been relegated to philosophy, but became an issue of technical urgency recently, due to rapid advancements in machine intelligence. This paper summarizes a theory of neuronal mechanisms underlying understanding followed by outlining a framework for simulating such mechanisms in computational artifacts.