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As the field of AI continues to evolve, a significant dimension of this progression is the development of Large Language Models and their potential to enhance multi-agent artificial intelligence systems.
The evolution of cooperation
Axelrod, R., Hamilton, W.D., 1981 · 1981
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On the origin of cooperation
Pennisi, E., 2009 · 2009
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Open problems in cooperative ai
Dafoe, A., Hughes, E., Bachrach, Y., Collins, T., McKee, K.R., Leibo, J.Z., Larson, K., Graepel, T., 2020 · 2012
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Multi-agent reinforcement learning in sequential social dilemmas, in: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC. p. 464–473
Leibo, J.Z., Zambaldi, V., Lanctot, M., Marecki, J., Graepel, T., 2017 · 2017
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What matters for cooperation? the importance of social relationship over cognition
Dale, R., Marshall-Pescini, S., Range, F., 2020 · 2020
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Scalable evaluation of multi-agent reinforcement learning with melting pot
Leibo, J.Z., Duéñez-Guzmán, E., Vezhnevets, A.S., Agapiou, J.P., Sunehag, P., Koster, R., Matyas, J., Beattie, C., Mordatch, I., Graepel, T., 2021 · 2021
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Agapiou, J.P., Vezhnevets, A.S., Duéñez-Guzmán, E.A., Matyas, J., Mao, Y., Sunehag, P., Köster, R., Madhushani, U., Kopparapu, K., Comanescu, R., Strouse, D., Johanson, M.B., Singh, S., Haas, J., Mordatch, I., Mobbs, D., Leibo, J.Z., 2023 · 2023
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Ai for managing open innovation: Opportunities, challenges, and a research agenda
Broekhuizen, T., Dekker, H., de Faria, P., Firk, S., Nguyen, D.K., Sofka, W., 2023 · 2023
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Improving factuality and reasoning in language models through multiagent debate
Du, Y., Li, S., Torralba, A., Tenenbaum, J.B., Mordatch, I., 2023 · 2023
Cited alongside, same era.
The evolution of universal cooperation
Gross, J., Méder, Z.Z., Dreu, C.K.D., Romano, A., Molenmaker, W.E., Hoenig, L.C., 2023 · 2023
Cited alongside, same era.
Metagpt: Meta programming for a multi-agent collaborative framework
Hong, S., Zhuge, M., Chen, J., Zheng, X., Cheng, Y., Zhang, C., Wang, J., Wang, Z., Yau, S.K.S., Lin, Z., Zhou, L., Ran, C., Xiao, L., Wu, C., Schmidhuber, J., 2023 · 2023
Cited alongside, same era.
Bolaa: Benchmarking and orchestrating llm-augmented autonomous agents
Liu, Z., Yao, W., Zhang, J., Xue, L., Heinecke, S., Murthy, R., Feng, Y., Chen, Z., Niebles, J.C., Arpit, D., Xu, R., Mui, P., Wang, H., Xiong, C., Savarese, S., 2023 · 2023
Cited alongside, same era.
A multi-agent reinforcement learning model of reputation and cooperation in human groups
Reflexion: Language agents with verbal reinforcement learning
Shinn, N., Cassano, F., Berman, E., Gopinath, A., Narasimhan, K., Yao, S., 2023 · 2023
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Voyager: An open-ended embodied agent with large language models
Wang, G., Xie, Y., Jiang, Y., Mandlekar, A., Xiao, C., Zhu, Y., Fan, L., Anandkumar, A., 2023 · 2023
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React: Synergizing reasoning and acting in language models
Yao, S., Zhao, J., Yu, D., Du, N., Shafran, I., Narasimhan, K., Cao, Y., 2023 · 2023
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Exploring collaboration mechanisms for llm agents: A social psychology view
Zhang, J., Xu, X., Deng, S., 2023 · 2023
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McKee, K.R., Hughes, E., Zhu, T.O., Chadwick, M.J., Koster, R., Castaneda, A.G., Beattie, C., Graepel, T., Botvinick, M., Leibo, J.Z., 2023 · 2023
Cited alongside, same era.
Generative agents: Interactive simulacra of human behavior
Park, J.S., O’Brien, J.C., Cai, C.J., Morris, M.R., Liang, P., Bernstein, M.S., 2023 · 2023
Cited alongside, same era.
Understanding the world to solve social dilemmas using multi-agent reinforcement learning
Rios, M., Quijano, N., Giraldo, L.F., 2023 · 2023
Cited alongside, same era.
Toolformer: Language models can teach themselves to use tools
Schick, T., Dwivedi-Yu, J., Dessì, R., Raileanu, R., Lomeli, M., Zettlemoyer, L., Cancedda, N., Scialom, T., 2023 · 2023
Cited alongside, same era.
Zhu, Z., Xue, Y., Chen, X., Zhou, D., Tang, J., Schuurmans, D., Dai, H., 2023 · 2023
Later among the works it cites.
Mechagents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge
Ni, B., Buehler, M.J., 2024 · 2024
Closest in time.
Self-discover: Large language models self-compose reasoning structures
Zhou, P., Pujara, J., Ren, X., Chen, X., Cheng, H.T., Le, Q.V., Chi, E.H., Zhou, D., Mishra, S., Zheng, H.S., 2024 · 2024
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