Paul S. Rosenbloom

Paul S. Rosenbloom is a Professor in the Department of Computer Science at the University of Southern California, with affiliations at the Institute for Creative Technologies. His work focuses on cognitive architectures, particularly the development of the Sigma architecture and contributions to the Common Model of Cognition. He has pioneered the integration of symbolic, probabilistic, and neural systems in AI research.

Research Interests: Dr. Rosenbloom's research spans hybrid symbol systems, neural-symbolic integration, and the evolution of computational models of cognition. His recent work rethinks the Physical Symbol Systems Hypothesis through hybrid systems that bridge symbolic AI and neural networks, addressing challenges in universality, compositional reasoning, and cognitive modeling.

Scientific Awards:

• 2011 Kurzweil Award for Best AGI Idea
• 2012 Kurzweil Award for Best AGI Paper
• 2023 Springer Prize for Best Paper

Publications and Contributions: He has authored over 150 publications and co-authored foundational works on the Common Model of Cognition with Laird, Lebiere, and Stocco. His research has been supported by grants from the U.S. Army RDECOM and USC's Institute for Creative Technologies. He has mentored numerous collaborators and co-authors, including researchers like V. Ustun, A. Demski, and H. Joshi, in projects spanning virtual humans, reinforcement learning, and distributed vector representations.