Predicting Tacit Coordination Success Using Electroencephalogram Trajectories: The Impact of Task Difficulty
In this study, we aim to develop a machine learning model to predict the level of coordination between two players in tacit coordination games by analyzing the similarity of their spatial EEG features. We present an analysis, demonstrating the model’s sensitivity, which was assessed through three co...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/23/9493 |