Multimodal AI-based visualization of strategic leaders' emotional dynamics: a deep behavioral analysis of Trump's trade war discourse
Abstract
This study investigates the emotional rhythms and behavioral mechanisms of dominant political leaders in strategic decision-making. Using the Trump administration's 125 percent tariff hike on China as a case, it adopts a Multimodal Cognitive Behavioral Modeling framework. This includes micro-expression tracking, acoustic intonation analysis, semantic flow modeling, cognitive load simulation, and strategic behavior mapping to construct a full-cycle simulation of emotion, motivation, and output. Results reveal that Trump's decisions are not driven by rational deduction, but emerge from dominance-coherence rhythms. A six-axis National Strategic Tempo Intervention Framework is proposed to support anticipatory policy modeling.
Keywords
Cite
@article{arxiv.2505.16274,
title = {Multimodal AI-based visualization of strategic leaders' emotional dynamics: a deep behavioral analysis of Trump's trade war discourse},
author = {Wei Meng},
journal= {arXiv preprint arXiv:2505.16274},
year = {2025}
}
Comments
It integrates artificial intelligence, multimodal cognitive modeling, political behavior simulation, and data visualization, making it an interdisciplinary AI-based modeling study