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Maxime Morge
LLM4AAMAS
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3734ed43
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3734ed43
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3 weeks ago
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Maxime MORGE
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@@ -339,6 +339,33 @@ simulation.
Challenges
](
https://arxiv.org/abs/2402.01680
)
**
Taicheng Guo et al. (2024)
Published on
*arXiv*
arXiv:2402.01680 [cs.CL]
### Distributed Problem Solving
The authors consider LLMs as multi-robot task planners. They compares different
coordination frameworks of cooperative dialogue among multiple LLMs for
increasing number of robots. While a decentralized communication framework
considers that each robot is provided its own LLM agent and dialogue proceed in
round of turn-taking, a centralized framework use a single LLM to produce the
next action for all robots in the system. Both central and local planners
produce the most successful plan and scale best to large numbers of agents.
-
**
[
Scalable Multi-Robot Collaboration with Large Language Models: Centralized
or Decentralized Systems?
](
https://doi.org/10.1109/ICRA57147.2024.10610676
)
**
Yongchao Chen, Jacob Arkin, Yang Zhang, Nicholas Roy, Chuchu Fan (2024) in
*2024 IEEE International Conference on Robotics and Automation (ICRA)*
, pp.
4311-4317.
AGENTVERSE is a general multi-agent framework that simulates problem-solving
procedures of human groups.
-
**
[
Agentverse: Facilitating multi-agent collaboration and exploring emergent
behaviors
](
https://openreview.net/forum?id=HywBMyh6JGR
)
**
*
Weize Chen, Yusheng
Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu,
Yi-Hsin Hung, Chen Qian, et al. (2023)
* Published in *
The Twelfth
International Conference on Learning Representations (ICLR 2023)
*
### Social Simulation
LLMs can simulate realistic perceptions, reasoning, and decision-making, react
...
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@@ -373,15 +400,6 @@ simulation in an environment inspired by The Sims.
Symposium on User Interface Software and Technology
*
Articleno: 2, Pages: 22,
Location: San Francisco, CA, USA, Series: UIST '23
AGENTVERSE is a general multi-agent framework that simulates problem-solving
procedures of human groups.
-
**
[
Agentverse: Facilitating multi-agent collaboration and exploring emergent
behaviors
](
https://openreview.net/forum?id=HywBMyh6JGR
)
**
*
Weize Chen, Yusheng
Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu,
Yi-Hsin Hung, Chen Qian, et al. (2023)
* Published in *
The Twelfth
International Conference on Learning Representations (ICLR 2023)
*
An open-source platform to simulate a human society.
-
**
[
Training socially aligned language models on simulated social
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