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 …
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 …
Artificial Intelligence (AI) powered machines are increasingly mediating our work and many of our managerial, economic, and cultural interactions. While technology enhances …
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 …
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 …
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 …
In complex situations involving communication, agents might attempt to mask their intentions, exploiting Shannon's theory of information as a theory of misinformation. Here …
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 …
Controllability, or the influence one has over their surroundings, is crucial for decision- making and mental health. Traditionally, controllability is operationalized in sensorimotor …