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 …

Human-robot teaming: grand challenges

M Natarajan, E Seraj, B Altundas, R Paleja, S Ye… - Current Robotics …, 2023 - Springer
Abstract Purpose of Review Current real-world interaction between humans and robots is
extremely limited. We present challenges that, if addressed, will enable humans and robots …

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 …

[图书][B] Plan, activity, and intent recognition: Theory and practice

G Sukthankar, C Geib, HH Bui, D Pynadath… - 2014 - books.google.com
Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

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 …

Iterated reasoning with mutual information in cooperative and byzantine decentralized teaming

S Konan, E Seraj, M Gombolay - arXiv preprint arXiv:2201.08484, 2022 - arxiv.org
Information sharing is key in building team cognition and enables coordination and
cooperation. High-performing human teams also benefit from acting strategically with …

Negotiating with other minds: the role of recursive theory of mind in negotiation with incomplete information

H De Weerd, R Verbrugge, B Verheij - Autonomous Agents and Multi …, 2017 - Springer
Abstract Theory of mind refers to the ability to reason explicitly about unobservable mental
content of others, such as beliefs, goals, and intentions. People often use this ability to …

Predicting human behavior in unrepeated, simultaneous-move games

JR Wright, K Leyton-Brown - Games and Economic Behavior, 2017 - Elsevier
It is commonly assumed that agents will adopt Nash equilibrium strategies; however,
experimental studies have demonstrated that this is often a poor description of human …

Robots with theory of mind for humans: A survey

N Gurney, DV Pynadath - 2022 31st IEEE International …, 2022 - ieeexplore.ieee.org
Theory of Mind (ToM) is a psychological construct that captures the ability to ascribe mental
states to others and then use those representations for explaining and predicting behavior …

Recursively modeling other agents for decision making: A research perspective

P Doshi, P Gmytrasiewicz, E Durfee - Artificial Intelligence, 2020 - Elsevier
Individuals exhibit theory of mind, attributing beliefs, intent, and mental states to others as
explanations of observed actions. Dennett's intentional stance offers an analogous …