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Paul J. Brewer is a pioneering researcher in experimental and computational economics, best known for his foundational work on the behavioral foundations of market equilibrium. His most cited paper, "On the Behavioral Foundations of the Law of Supply and Demand: Human Convergence and Robot Randomness" (2002, 58 citations), extends the seminal research of Gode and Sunder by demonstrating that even markets populated by zero-intelligence agents—those acting with substantial randomness—can converge toward equilibrium, underscoring the power of market institutions over individual rationality. Brewer’s subsequent work, including "Zero-Intelligence Robots and the Double Auction Market: A Graphical Tour" (2008) and "Profitability, Efficiency, and Inequality in Double Auction Markets with Snipers" (2019), deepens our understanding of how algorithmic trading and strategic behaviors like sniping affect market outcomes. His research has had a lasting impact on the fields of agent-based modeling and market design, influencing both economists and computer scientists. Brewer’s contributions highlight the surprising efficiency of simple, rule-based agents in complex market environments, making his work essential reading for students and researchers interested in the intersection of artificial intelligence and economic theory.