Author:
Michael Harré
Affiliation:
The University of Sydney, Australia
Keyword(s):
Theory of Mind, Artificial Intelligence, Social Networks, Game Theory.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Cognitive Systems
;
Computational Intelligence
;
Evolutionary Computing
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Reactive AI
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Symbolic Systems
;
Theory and Methods
Abstract:
Each of us has an incredibly large repertoire of behaviours from which to select from at any given time,
and as our behavioural complexity grows so too does the possibility that we will misunderstand each other’s
actions. However, we have evolved a cognitive mechanism that allows us to understand another person’s
psychological space: their motivations, constraints, plans, goals and emotional state and it is called our ‘Theory
of Mind’. This capability allows us to understand the choices another person might make on the basis that the
other person has their own ‘internal world’ that influences their choices in the same way as our own internal
world influences our choices. Arguably, this is one of the most significant cognitive developments in human
evolutionary history, along with our ability for long term adaptation to familiar situations and our ability to
reason dynamically in completely novel situations. So the question arises: Can we implement the rudimentary
foundations of a hum
an-like Theory of Mind in an artificial mind such that it can dynamically adapt to the
likely decisions of another mind (artificial or biological) by holding an internal representation of that other
mind? This article argues that this is possible and that we already have much of the necessary theoretical
foundations in order to begin the development process.
(More)