Extending decision field theory to a multi-agent decision-making with forgetting

Seunghan Lee, Young Jun Son

Research output: Contribution to conferencePaperpeer-review


Decision Field Theory (DFT) is a dynamic human decision-making model based on the evolution of preferences on the options over time. The goal of this paper is to extend DFT to examining how long-term decision making processes via the experience of forgetting lead to shifts in preference. Combining the established DFT model with the parameter of forgetting introduces an extended model that shares the mathematical characteristics of DFT. We then examine the choice probability of this DFT model with forgetting (DFT-F) by driving the limiting distribution of preference. This DFT-F is applied to mimic a decision-making process involving two or more people by introducing parameters related to individual powers of influence within various types of human interaction: competition, collaboration, compromise, accommodation, and avoidance. We then use DFT-F to develop a hierarchical network model for analyzing multi-agent decision-making, and discuss its stability under the dynamics of opinion formation. The bottom level of this network represents individual's decision-making behaviors, while they are aggregated to a group decision in the higher level of the network. A simulation model of a social network is used to demonstrate how the changes of parameters in DFT-F have different effects on the stability of the network.

Original languageEnglish (US)
Number of pages6
StatePublished - 2020
Event2016 Industrial and Systems Engineering Research Conference, ISERC 2016 - Anaheim, United States
Duration: May 21 2016May 24 2016


Conference2016 Industrial and Systems Engineering Research Conference, ISERC 2016
Country/TerritoryUnited States


  • Decision Field Theory
  • Forgetting
  • Human Interaction
  • Innovation Diffusion
  • Multi-agent Decision Making
  • Social Network

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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