His research has focused on computational market mechanisms and game-theoretic reasoning methods, with applications in electronic commerce, finance, and cyber-security. He contributed to the development of the Trading Agent Competition (TAC). Wellman has investigated the risks posed by autonomous trading agents, exploring vulnerabilities and potential instabilities in
algorithmic trading. His recent work models how AI trading systems can impact
financial stability, particularly examining manipulative behaviors like spoofing and the broader implications of AI in financial markets. ==See also==