Paul S. Rosenbloom is affiliated with the University of Southern California in the United States. The primary areas of their research span across computer science and neuroscience, with a concentration on artificial intelligence and cognitive neuroscience.
The scientist's work covers subfields such as artificial intelligence, cognitive neuroscience, and mechanical engineering. The main topics of research include AI-based problem solving and planning, artificial intelligence in games, functional brain connectivity studies, neural dynamics and brain function, topic modeling, cognitive science and mapping, as well as design education and practice.
Publications by Paul S. Rosenbloom predominantly appear in venues including arXiv (Cornell University), NeuroImage, and bioRxiv (Cold Spring Harbor Laboratory). Notable papers include:
Frequent collaborators in Rosenbloom's research include John E. Laird, Christian Lebière, Andrea Stocco, and Catherine Sibert. These collaborations have contributed to multiple publications and reflect ongoing partnerships in the fields of cognitive architectures and neuroscientific studies.
Among honors received, Paul S. Rosenbloom was named a Fellow of the American Association for the Advancement of Science (AAAS) in 2017. They were also recognized as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1994, for contributions to unified theories of cognition, integrated architectures for intelligence, and service to the AI community.
J. E. Laird;A. Newell;P. S. Rosenbloom
John E. Laird;Paul S. Rosenbloom;Allen Newell
Milind Tambe;W. Lewis Johnson;Randolph M. Jones;Frank V. Koss
John E. Laird;Christian Lebiere;Paul S. Rosenbloom
Allen Newell;Paul S. Rosenbloom;John E. Laird
J. E. Laird;P. S. Rosenbloom
Paul S. Rosenbloom;John Laird;Allen Newell
John Laird;Paul Rosenbloom;Allen Newell
Paul S. Rosenbloom;John E. Laird;Allen Newell;Robert McCarl
Jill F. Lehman;John Laird;Paul Rosenbloom
John Laird;Paul Rosenbloom;Allen Newell
P. S. Rosenbloom;A. Newell
John Laird;Paul Rosenbloom;Allen Newell
Paul Scerri;David Pynadath;Lewis Johnson;Paul Rosenbloom
John E. Laird;Paul S. Rosenbloom;Allen Newell
P. S. Rosenbloom;J. E. Laird
Andrew R. Golding;Paul S. Rosenbloom
P. S. Rosenbloom;J. E. Laird;J. McDermott;A. Newell
Paul S. Rosenbloom;Abram Demski;Volkan Ustun
Paul S. Rosenbloom
Paul S. Rosenbloom;Allen Newell;John E. Laird
If you think any of the details on this page are incorrect, let us know.
Choosing the right online degree can set you on a faster path to a rewarding tech career. If you’re eager to join the workforce quickly, consider exploring the quickest degree to get online. These programs can help you gain valuable skills in less time, making them ideal for students balancing education with other commitments.
For those fascinated by the future of technology, an AI degree opens doors to roles in machine learning, data science, and robotics. Pursuing this specialization online can be both accessible and affordable, with many universities offering flexible remote options.
Not sure where to start? Browse the best majors in college for insight into high-demand fields and lucrative career prospects. From software engineering to cybersecurity, Computer Science overlaps with many top majors.
If you’re considering a graduate program to advance your career, check out some of the easiest online masters degree options. These programs can provide a competitive edge while maintaining balance with your professional and personal life.
Nanjing University of Aeronautics and Astronautics
University of Oslo
NTT (Japan)
National Center for Atmospheric Research
University of California, Berkeley
Sophia University
Rutgers, The State University of New Jersey
American University of Beirut
University of Wisconsin–Madison
Cleveland State University
Zhejiang University
University of California, San Francisco
Cornell University
University of Alabama at Birmingham
Newcastle University
Naval Postgraduate School
