🤖 AI Summary
Current research on Machine Theory of Mind lacks a rigorous formal definition and a unified evaluation framework. This work addresses this gap by integrating empirical principles from cognitive psychology, neuroscience, and artificial intelligence to propose the first formal definition of Machine Theory of Mind. It introduces a metamodel that synthesizes cognitive modeling, formal logic, and systems analysis, accompanied by a corresponding empirical benchmarking framework. By establishing a clear theoretical foundation, a unified modeling paradigm, and an actionable evaluation methodology, this study advances the field toward systematicity and empirical verifiability.
📝 Abstract
This paper proposes, for the first time, a rigorous formal definition of the concept of Machine Theory of Mind, based on principles supported by evidence from cognitive psychology, neuroscience and artificial intelligence, and uses the above as a lens to examine state-of-the-art and current efforts in the field, driving a potential agenda for further research there able to "crack" the problem. It also advances a general holistic meta-model for Machine Theory of Mind, and examines the state of the art when it comes to empirically benchmarking such models.