notesum.ai
Published at November 8Game-theoretic LLM: Agent Workflow for Negotiation Games
cs.AI
cs.CL
cs.GT
cs.LG
cs.MA
Released Date: November 8, 2024
Authors: Wenyue Hua1, Ollie Liu2, Lingyao Li3, Alfonso Amayuelas4, Julie Chen5, Lucas Jiang5, Mingyu Jin1, Lizhou Fan6, Fei Sun7, William Wang4, Xintong Wang1, Yongfeng Zhang1
Aff.: 1Rutgers University, New Brunswick; 2University of Southern California; 3University of South Florida; 4University of California, Santa Barbara; 5Independent Researcher; 6Harvard University; 7Institute of Computing Technology

| action 1 | action 2 | action 3 | action 4 | action 5 | action 6 | |
|---|---|---|---|---|---|---|
| action 1 | 0,0 | 0,9 | 0,14 | 0,15 | 0,12 | 0,5 |
| action 2 | 9,0 | 7,7 | 5,10 | 3,9 | 1,4 | -1,-5 |
| action 3 | 14,0 | 10,5 | 6,6 | 2,3 | -2,-4 | -2,-5 |
| action 4 | 15,0 | 9,3 | 3,2 | -3,-3 | -3,-4 | -3,-5 |
| action 5 | 12,0 | 4,1 | -4,-2 | -4,-3 | -4-4, | -4,-5 |
| action 6 | 5,0 | -5,-1 | -5,-2 | -5,-3 | -5,-4 | -5,-5 |