LLM4AAMAS: Add hu24arxiv

README.md

@@ -47,7 +47,7 @@ to generative AAMAS. This list is a work in progress and will be regularly updat
 ## Large Language Models
 
 - The literature review of the recent advances in LLMs shown that scaling can
-  largely improve the model capacity
+  largely improve the model capacity.
 
     **[A Survey of Large Language Models](https://arxiv.org/abs/2303.18223)**
     Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. (2024) Published on *arXiv*
@@ -252,6 +252,16 @@ tools and refine the plan based on feedback from the environment.
     Published on *arXiv*
 
 
+Cognitive abilities once considered unique to humans—such as reasoning,
+planning, and reflection, along with a degree of self-control, self-awareness,
+and self-improvement—can now be achieved by leveraging well-crafted prompts in
+LLMs combined with embedded cognitive intelligence.
+
+- **[A Survey on Large Language Model-Based Game
+  Agents](https://arxiv.org/abs/2404.02039)** Sihao Hu, Tiansheng Huang, Fatih
+  Ilhan, Selim Tekin, Gaowen Liu, Ramana Kompella, Ling Liu (2024) Published on
+  arXiv
+
 LLMs have the ability to emulate a real human in certain experiments in
 experimental economics or social psychology.
 
@@ -394,9 +404,9 @@ A simulation of the propagation processes in a social network.
   building generative multi-agent systems with workflows.
 
 - [Bee Agent
-  Framework](https://github.com/i-am-bee/bee-agent-framework/tree/main) for
-  ramework for building, deploying generative multi-agent workflows managing and
-  executing structured sequences of tasks.
+  Framework](https://github.com/i-am-bee/bee-agent-framework/tree/main)
+  framework for building, deploying generative multi-agent workflows managing
+  and executing structured sequences of tasks.
 
 ## Authors