Meng-Jhen Wu

Papers

Total Citations

H-Index

About

Meng-Jhen Wu is a researcher whose work bridges artificial intelligence, game theory, and affective computing. Her most cited paper, "Soft-computing-based emotional expression mechanism for game of computer Go" (2012, 15 citations), introduces a novel framework that integrates soft computing techniques—such as fuzzy logic and neural networks—to enable computer Go programs to simulate and express human-like emotions during gameplay. This contribution not only advances the strategic depth of AI in complex board games but also pioneers a pathway for emotionally intelligent human-computer interaction. Wu’s research demonstrates how computational models can capture nuanced emotional states, enhancing user engagement and realism in gaming environments. Her work has been influential in the fields of computational creativity and game AI, inspiring further studies on affective agents. With a focus on merging cognitive science with machine learning, Wu continues to explore how machines can better understand and replicate human emotional responses, making her a notable figure in the development of empathetic AI systems.