Journals Proceedings

Abstract

This article examines cognitive processes engaged in situational understanding and outlines a framework for simulating such processes in computational systems (‘machine situational understanding’). Discussion focuses on elucidating key distinctions between ‘machine learning’ and ‘machine situational understanding’, and apprehending limitations of conventional AI methods (learning, reasoning) in approximating the capacity for situational understanding and/or facilitating situational understanding in the human operators.