Pat Langley is affiliated with Stanford University in the United States and has contributed extensively to the field of computer science, focusing predominantly on artificial intelligence. Their academic output spans multiple subfields including artificial intelligence, computer networks and communications, mechanical engineering, and computer vision and pattern recognition.
Their research addresses several main topics such as AI-based problem solving and planning, reinforcement learning in robotics, data stream mining techniques, optimization and search problems, constraint satisfaction and optimization, natural language processing techniques, and topic modeling.
Langley has published research in a variety of venues, with the majority appearing in the Proceedings of the AAAI Conference on Artificial Intelligence. Other venues include AI Magazine, Spatial Cognition and Computation, arXiv (Cornell University), and Artificial Intelligence.
Frequent collaborators with Langley include Ljupčo Todorovski, Will Bridewell, Edward P. Katz, Christopher J. MacLellan, and Peter Matsakis.
Notable recent papers authored by Pat Langley include:
Avrim L. Blum;Pat Langley
George H. John;Pat Langley
Pat Langley;Herbert A. Simon;Gary L. Bradshaw;Jan M. Zytkow
Pat Langley;and Wayne Iba;Kevin Thompson
Pat Langley
Pat Langley;Stephanie Sage
John H. Gennari;Pat Langley;Doug Fisher
Pat Langley;John E. Laird;Seth Rogers
Pat Langley
Pat Langley
John H. Gennari;Pat Langley;Doug Fisher
Pat Langley;Herbert A. Simon
Wayne Iba;Pat Langley
Pat Langley;Herbert A. Simon;Gary L. Bradshaw;Jan M. Zytkow
David Klahr;Pat Langley;Robert Neches
Jeff Shrager;Pat Langley
Pat Langley
Cynthia A. Thompson;Mehmet H. Göker;Pat Langley
Stefan Schroedl;Kiri Wagstaff;Seth Rogers;Pat Langley
Pat Langley
Pat Langley
If you think any of the details on this page are incorrect, let us know.
Exploring online degrees in Computer Science opens doors to diverse career pathways—often with greater flexibility and affordability. Students seeking to manage tuition costs can benefit from cheap online college classes, allowing you to gain skills without accumulating excessive debt.
Not every student starts their journey with a perfect academic record. Fortunately, there are best colleges for low gpa that provide opportunities to pursue a quality Computer Science education, even with previous academic challenges.
If you wish to accelerate your career growth, consider programs recognized among the top choices for an online computer science degree. These accelerated tracks are designed to help you graduate and enter the workforce sooner.
Additionally, your interest in technology can extend into interdisciplinary fields. For example, with an Environmental Science background, you can explore how tech skills apply to environmental data, modeling, or policy. Discover more about available options and roles you could pursue with an environmental science degree.
Helmholtz-Zentrum Dresden-Rossendorf
University of British Columbia
University of Toronto
Hong Kong University of Science and Technology
United States Department of Veterans Affairs
Université Paris Cité
Karolinska Institute
Tampere University
Norwegian University of Science and Technology
Microsoft (United States)
The Ohio State University
Northeast Normal University
Beijing University of Chemical Technology
Keio University
Utrecht University
International Agency For Research On Cancer
