The supplemental materials of "Simulation-based Exploration for Aggregation Algorithms in Human+AI Crowd: What factors should we consider for better results?" in the HCOMP2024 Works-in-Progress and Demonstrations track.
The paper is here.
This work was awarded Best Work-in-Progress Paper (Best Poster).
This repository contains the Python implementations of (1) the Human+AI Crowd Simulation model and (2) the DS+OneCoin model.
I would like you to read supplemental_materials.pdf first.
Takumi Tamura, Hiroyoshi Ito, Satoshi Oyama, Atsuyuki Morishima, "Simulation-based Exploration for Aggregation Algorithms in Human+AI Crowd: What factors should we consider for better results?", Works-in-Progress and Demos track, The 12th AAAI Conference on Human Computation and Crowdsourcing (HCOMP2024), October 16–19, 2024, Pittsburgh, Pennsylvania, USA, 4 pages.
Note: This paper is in the Works-in-Progress and Demonstration track at HCOMP 2024. The paper has not been contained the proceedings of the conference, in other words, this work is not published officialy.