Autonomous agents modelling other agents: A comprehensive survey and open problems

SV Albrecht, P Stone - Artificial Intelligence, 2018 - Elsevier
Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players

C March - Journal of Economic Psychology, 2021 - Elsevier
Artificial intelligence (AI) is starting to pervade the economic and social life. This renders
strategic interactions between humans and artificial agents more and more common. At the …

In situ bidirectional human-robot value alignment

L Yuan, X Gao, Z Zheng, M Edmonds, YN Wu… - Science robotics, 2022 - science.org
A prerequisite for social coordination is bidirectional communication between teammates,
each playing two roles simultaneously: as receptive listeners and expressive speakers. For …

Open problems in cooperative ai

A Dafoe, E Hughes, Y Bachrach, T Collins… - arxiv preprint arxiv …, 2020 - arxiv.org
Problems of cooperation--in which agents seek ways to jointly improve their welfare--are
ubiquitous and important. They can be found at scales ranging from our daily routines--such …

A survey of learning in multiagent environments: Dealing with non-stationarity

P Hernandez-Leal, M Kaisers, T Baarslag… - arxiv preprint arxiv …, 2017 - arxiv.org
The key challenge in multiagent learning is learning a best response to the behaviour of
other agents, which may be non-stationary: if the other agents adapt their strategy as well …

Probabilistic recursive reasoning for multi-agent reinforcement learning

Y Wen, Y Yang, R Luo, J Wang, W Pan - arxiv preprint arxiv:1901.09207, 2019 - arxiv.org
Humans are capable of attributing latent mental contents such as beliefs or intentions to
others. The social skill is critical in daily life for reasoning about the potential consequences …

[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 …

Higher-order theory of mind is especially useful in unpredictable negotiations

H De Weerd, R Verbrugge, B Verheij - Autonomous Agents and Multi …, 2022 - Springer
In social interactions, people often reason about the beliefs, goals and intentions of others.
This theory of mind allows them to interpret the behavior of others, and predict how they will …

An arms race in theory-of-mind: Deception drives the emergence of higher-level theory-of-mind in agent societies

Ş Sarkadi - 2023 IEEE International Conference on Autonomic …, 2023 - ieeexplore.ieee.org
It has been argued that using Theory-of-Mind (ToM) is a fundamental cognitive ability that
underpins effective deceptive behaviour. However, we still do not have a clear …

[HTML][HTML] Intelligent autonomous agents and trust in virtual reality

N Sun, J Botev - Computers in Human Behavior Reports, 2021 - Elsevier
Intelligent autonomous agents (IAA) are proliferating and rapidly evolving due to the
exponential growth in computational power and recent advances, for instance, in artificial …