Michael L. Anderson

Franklin & Marshall College, University of Maryland, College Park

Papers

Total Citations

174

H-Index

About

Michael L. Anderson is a leading researcher in the intersection of cognitive science, artificial intelligence, and neuroscience, with a primary focus on metacognition, metareasoning, and the neural implementation of intelligent systems. His 2007 review, "A Review of Recent Research in Metareasoning and Metalearning" (89 citations), provides a foundational overview of metacognitive processes in AI, catalyzing renewed interest in how systems can monitor and regulate their own reasoning. Anderson’s 2008 work, "Circuit sharing and the implementation of intelligent systems" (70 citations), is a landmark contribution to the modularity debate in cognitive neuroscience. By analyzing 472 fMRI experiments across eight cognitive domains, he demonstrated how brain regions cooperate in shared circuits, offering a novel, empirically grounded framework for understanding neural reuse and its implications for AI architecture. This work has shaped discussions on distributed cognition and efficient system design. Additionally, his provocative 2005 essay "Why is AI so scary?" (15 citations) explores public perceptions of artificial intelligence, showcasing his ability to bridge technical research with broader societal questions. Anderson’s interdisciplinary approach continues to influence both cognitive science and AI development.