[HTML][HTML] Theory of mind and preference learning at the interface of cognitive science, neuroscience, and AI: A review

C Langley, BI Cirstea, F Cuzzolin… - Frontiers in artificial …, 2022 - frontiersin.org
Theory of Mind (ToM)-the ability of the human mind to attribute mental states to others-is a
key component of human cognition. In order to understand other people's mental states or …

Formalising social representation to explain psychiatric symptoms

JM Barnby, P Dayan, V Bell - Trends in cognitive sciences, 2023 - cell.com
Recent work in social cognition has moved beyond a focus on how people process social
rewards to examine how healthy people represent other agents and how this is altered in …

Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices

L Zhang, L Lengersdorff, N Mikus… - Social Cognitive and …, 2020 - academic.oup.com
The recent years have witnessed a dramatic increase in the use of reinforcement learning
(RL) models in social, cognitive and affective neuroscience. This approach, in combination …

Fostering collective intelligence in human–AI collaboration: laying the groundwork for COHUMAIN

P Gupta, TN Nguyen, C Gonzalez… - Topics in cognitive …, 2023 - Wiley Online Library
Artificial Intelligence (AI) powered machines are increasingly mediating our work and many
of our managerial, economic, and cultural interactions. While technology enhances …

Towards a holistic landscape of situated theory of mind in large language models

Z Ma, J Sansom, R Peng, J Chai - arXiv preprint arXiv:2310.19619, 2023 - arxiv.org
Large Language Models (LLMs) have generated considerable interest and debate
regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal …

[HTML][HTML] Social learning across adolescence: A Bayesian neurocognitive perspective

L Hofmans, W van den Bos - Developmental Cognitive Neuroscience, 2022 - Elsevier
Adolescence is a period of social re-orientation in which we are generally more prone to
peer influence and the updating of our beliefs based on social information, also called social …

Theory of mind from observation in cognitive models and humans

TN Nguyen, C Gonzalez - Topics in cognitive science, 2022 - Wiley Online Library
A major challenge for research in artificial intelligence is to develop systems that can infer
the goals, beliefs, and intentions of others (ie, systems that have theory of mind, ToM). In this …

A (dis-) information theory of revealed and unrevealed preferences: emerging deception and skepticism via theory of mind

N Alon, L Schulz, JS Rosenschein, P Dayan - Open Mind, 2023 - direct.mit.edu
In complex situations involving communication, agents might attempt to mask their
intentions, exploiting Shannon's theory of information as a theory of misinformation. Here …

Hypothetical minds: Scaffolding theory of mind for multi-agent tasks with large language models

L Cross, V Xiang, A Bhatia, DLK Yamins… - arXiv preprint arXiv …, 2024 - arxiv.org
Multi-agent reinforcement learning (MARL) methods struggle with the non-stationarity of
multi-agent systems and fail to adaptively learn online when tested with novel agents. Here …

Towards a neurocomputational account of social controllability: From models to mental health

S Na, SA Rhoads, NC Alessandra, VG Fiore… - … & Biobehavioral Reviews, 2023 - Elsevier
Controllability, or the influence one has over their surroundings, is crucial for decision-
making and mental health. Traditionally, controllability is operationalized in sensorimotor …