Abstract
Often members of a group benefit from dividing the group’s task into separate components, where each member specializes their role so as to accomplish only one of the components. While this division of labor phenomenon has been observed with respect to both manual and cognitive labor, there is no clear understanding of the cognitive mechanisms allowing for its emergence, especially when there are multiple divisions possible and communication is limited. Indeed, maximization of expected utility often does not differentiate between alternative ways in which individuals could divide labor. We developed an iterative two-person game in which there are multiple ways of dividing labor, but in which it is not possible to explicitly negotiate a division. We implemented the game both as a human experimental task and as a computational model. Our results show that the majority of human dyads can finish the game with an efficient division of labor. Moreover, we fitted our computational model to the behavioral data, which allowed us to explain how the perceived similarity between a player’s actions and the task’s focal points guided the players’ choices from one round to the other, thus bridging the group dynamics and its underlying cognitive process. Potential applications of this model outside cognitive science include the improvement of cooperation in human groups, multi-agent systems, as well as human-robot collaboration.
Publisher
Public Library of Science (PLoS)
Reference31 articles.
1. An Experimental Study of the Coloring Problem on Human Subject Networks;M Kearns;Science,2006
2. Group benefits in joint perceptual tasks: A review;B Wahn;Annals of the New York Academy of Sciences,2018
3. When two heads are better than one: Interactive versus independent benefits of collaborative cognition;AA Brennan;Psychonomic Bulletin & Review,2015
4. Clonal raider ant brain transcriptomics identifies candidate molecular mechanisms for reproductive division of labor;R Libbrecht;BMC Biology, Vol 16, Iss 1, Pp 1–13 (2018),2018
5. Genetics and Evolution of Social Behavior in Insects;CA Weitekamp;Annual Review Of Genetics,2017
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献