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While Large Language Models (LLMs) have demonstrated impressive accomplishments in both reasoning and planning, their abilities in multi-agent collaborations remains largely unexplored.
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan, Tabish Rashid, Christian Schroeder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philiph H. S. Torr, Jakob Foerster, and Shimon Whiteson. 2019 · 1902
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Limits on theory of mind use in adults
Boaz Keysar, Shuhong Lin, and Dale J Barr. 2003 · 2003
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Modeling and simulating human teamwork behaviors using intelligent agents
Xiaocong Fan and John Yen. 2004 · 2004
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Improving multi-agent cooperation using theory of mind
Terence X Lim, Sidney Tio, and Desmond C Ong. 2020 · 2007
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Children’s understanding of second-order mental states
Scott A Miller. 2009 · 2009
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Perspective-taking and depth of theory-of-mind reasoning in sequential-move games
Jun Zhang, Trey Hedden, and Adrian Chia. 2012 · 2012
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A configural theory of team processes: Accounting for the structure of taskwork and teamwork
Eean R Crawford and Jeffery A Lepine. 2013 · 2013
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Conflict-based search for optimal multi-agent pathfinding
Guni Sharon, Roni Stern, Ariel Felner, and Nathan R Sturtevant. 2015 · 2015
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Openai gym
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba. 2016 · 2016
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Rational quantitative attribution of beliefs, desires and percepts in human mentalizing
Chris L Baker, Julian Jara-Ettinger, Rebecca Saxe, and Joshua B Tenenbaum. 2017 · 2017
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Value-decomposition networks for cooperative multi-agent learning
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinicius Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z Leibo, Karl Tuyls, et al. 2017 · 2017
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Machine behaviour
Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W Crandall, Nicholas A Christakis, Iain D Couzin, Matthew O Jackson, et al. 2019 · 2019
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Quantifying collective intelligence in human groups
Christoph Riedl, Young Ji Kim, Pranav Gupta, Thomas W Malone, and Anita Williams Woolley. 2021 · 2021
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Emergence of theory of mind collaboration in multiagent systems
Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, and Song-Chun Zhu. 2021 · 2021
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Do as i can, not as i say: Grounding language in robotic affordances
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Chuyuan Fu, Keerthana Gopalakrishnan, Karol Hausman, et al. 2022 · 2022
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
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Theory of mind may have spontaneously emerged in large language models
Michal Kosinski. 2023 · 2023
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Llm+ p: Empowering large language models with optimal planning proficiency
Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, and Peter Stone. 2023 · 2023
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Dissociating language and thought in large language models: a cognitive perspective
Kyle Mahowald, Anna A Ivanova, Idan A Blank, Nancy Kanwisher, Joshua B Tenenbaum, and Evelina Fedorenko. 2023 · 2023
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Boosting theory-of-mind performance in large language models via prompting
Shima Rahimi Moghaddam and Christopher J Honey. 2023 · 2023
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Theory of mind as intrinsic motivation for multi-agent reinforcement learning
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Wenlong Huang, Pieter Abbeel, Deepak Pathak, and Igor Mordatch. 2022 · 2022
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Theory of mind modeling in search and rescue teams
Huao Li, Ini Oguntola, Dana Hughes, Michael Lewis, and Katia Sycara. 2022 · 2022
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Lamda: Language models for dialog applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, et al. 2022 · 2022
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Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, and Denny Zhou. 2022 · 2022
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Supporting artificial social intelligence with theory of mind
Jessica Williams, Stephen M Fiore, and Florian Jentsch. 2022 · 2022
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The surprising effectiveness of ppo in cooperative multi-agent games
Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre Bayen, and Yi Wu. 2022 · 2022
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al. 2023 · 2023
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Thilo Hagendorff. 2023 · 2023
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Ini Oguntola, Joseph Campbell, Simon Stepputtis, and Katia Sycara. 2023 · 2023
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OpenAI. 2023 · 2023
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Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph C O’Brien, Carrie J Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
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Neural theory-of-mind? on the limits of social intelligence in large lms
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Minding language models’(lack of) theory of mind: A plug-and-play multi-character belief tracker
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Large language models fail on trivial alterations to theory-of-mind tasks
Tomer Ullman. 2023 · 2023
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Translating natural language to planning goals with large-language models
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Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023 · 2023
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