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A Multi-Agent Game for Studying Human Decision-making


Authors: H. Yu, X. Yu, S. F. Lim, J. Lin, Z. Shen, and C. Miao
Title: A Multi-Agent Game for Studying Human Decision-making
Abstract: Understanding how human beings delegate tasks to trustees when presented with reputation information is important for building trust models for human-agent collectives. However, there is a lack of suitable platforms for building large scale datasets on this topic. We describe a demonstration of a multi-agent game for training students in the practice of Agile software engineering. Through interacting with agent competitors in the game, the behavior data related to users' decision-making process under uncertainty and resource constraints are collected in an unobtrusive fashion. These data may provide multi-agent trust researchers with new insight into the human decision-making process, and help them benchmark their proposed models.
Keywords: Reputation; Trust; Decision-making; Bench-marking; Game
Conference Name: 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’14)
Location: Paris, France
Publisher: IFAAMAS
Year: 2014
Accepted PDF File: A_Multi-Agent_Game_for_Studying_Human_Decision-making_accepted.pdf
Permanent Link: http://aamas2014.lip6.fr/proceedings/aamas/p1661.pdf
Reference: H. Yu, X. Yu, S. F. Lim, J. Lin, Z. Shen, and C. Miao, “A multi-agent game for studying human decision-making,” in Proceedings of the 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’14). IFAAMAS, May 2014, pp. 1661–1662.
bibtex: 
@inproceedings{LILY-c20,
   author 	= {Yu, Han and Yu, Xinjia and Lim, Su Fang and Lin, Jun and Shen, Zhiqi and Miao, Chunyan},
   title 	= {A Multi-Agent Game for Studying Human Decision-making},
   booktitle 	= {Proceedings of the 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'14)},
   year 	= {2014},
   month	= {May}, 
   pages 	= {1661-1662},
   location 	= {Paris, France},
   publisher 	= {IFAAMAS},
}