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TANDEM: a trust-based agent framework for networked decision making

  • Sibel AdalıEmail author
  • Kevin Chan
  • Jin-Hee Cho
Manuscript

Abstract

Team performance in networked decision making environments has been studied from many different perspectives. However, there are still many unanswered problems when it comes to understanding and quantifying the impact of individual differences of team players, their interpersonal relationships, team connectivity and complex interactions between these factors. In this paper, we present an agent framework that allows the manipulation of all these factors in a principled way. The agents in this framework can be connected through any network structure and can have different characteristics modeled in two dimensions of willingness and competence, which mirror beliefs for each other. Both nodes and links in the network can have differing capacity, modeled by agents’ ability to accomplish tasks and their trust for each other. The trust can change as a function of network activity, leading to dynamic scenarios. The framework is implemented as an open source simulation package and is fully extensible. With the help of an information sharing scenario, we conduct a sensitivity analysis and demonstrate the impact of all components of the framework on various network outcomes. In particular, we illustrate that the model provides the ability to study many different trade-offs in team performance and interaction between different parameters.

Keywords

Agent based modeling Networks Decision making Trust 

Notes

Acknowledgments

Research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-09-2-0053. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on. This research was also partially supported by the Department of Defense (DoD) through the office of the Assistant Secretary of Defense for Research and Engineering (ASD (R&E)). The views and opinions of the author(s) do not reflect those of the DoD nor ASD (R&E).

Supplementary material

10588_2015_9193_MOESM1_ESM.pdf (430 kb)
Supplementary material 1 (PDF 430 kb)

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Computer ScienceRensselaer Polytechnic InstituteTroyUSA
  2. 2.Computational & Information Sciences Directorate (CISD)U.S. Army Research Laboratory (USARL)AdelphiUSA

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