3 citations · 3 across the 3 of their papers we have counts for
4 papers
How AI Agents Follow the Herd of AI? Network Effects, History, and Machine Optimism
Yu Liu, Wenwen Li, Yifan Dou +1
Understanding decision-making in multi-AI-agent frameworks is crucial for analyzing strategic interactions in network-effect-driven contexts. This study investigates how AI agents…
When Machines Meet Each Other: Network Effects and the Strategic Role of History in Multi-Agent AI
Yu Liu, Wenwen Li, Yifan Dou +1
As artificial intelligence (AI) enters the agentic era, large language models (LLMs) are increasingly deployed as autonomous agents that interact with one another rather than opera…
AI Chatbots as Professional Service Agents: Developing a Professional Identity
Wenwen Li, Kangwei Shi, Yidong Chai
With the rapid expansion of large language model (LLM) applications, there is an emerging shift in the role of LLM-based AI chatbots from serving merely as general inquiry tools to…
Ensemble Learning For Mega Man Level Generation
Bowei Li, Ruohan Chen, Yuqing Xue +3
Procedural content generation via machine learning (PCGML) is the process of procedurally generating game content using models trained on existing game content. PCGML methods can s…