How teams benefit from communication policies: Information flow in human peer-to-peer networks

David Reitter, Katia Sycara, Christian Lebiere, Yury Vinokurov, Antonio Juarez, Michael Lewis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In an experiment involving teams of humans playing a cooperative game, We study the effect of local communication policies on the efficiency and the performance of teams and of individuals in different positions within a network. This design provides an experimental model of human communities, Where information may spread from peer to peer by word of mouth. With this model, We explain the realistic tradeoff between liberal information dumping and targeted information sharing by human peers. Human subjects exchanged natural-language messages with relevance to a task, Thereby sharing knowledge across a community. Communication took place along the edges of a small-world graph. Cooperation and individual efforts were incentivized. In one condition, Participants were asked to request specific information and only supply information that they knew was needed. In another condition, They were asked to supply and forward as much information as possible. We found that a targeted communication policy was successfully implemented by the participants, Increased task success, Shortened the time it took to get answers to questions, Increased efficiency (task success per communication bandwidth), And may have done so selectively for nodes with fewer connections.

Original languageEnglish (US)
Title of host publication20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011
Pages138-145
Number of pages8
StatePublished - Dec 1 2011
Event20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011 - Sundance, UT, United States
Duration: Mar 21 2011Mar 24 2011

Other

Other20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011
CountryUnited States
CitySundance, UT
Period3/21/113/24/11

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation

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  • Cite this

    Reitter, D., Sycara, K., Lebiere, C., Vinokurov, Y., Juarez, A., & Lewis, M. (2011). How teams benefit from communication policies: Information flow in human peer-to-peer networks. In 20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011 (pp. 138-145)