R. Michael Young is affiliated with the University of Utah in the United States. Their research primarily focuses on Artificial Intelligence within the domain of computer science. Their work spans several intersecting subfields including artificial intelligence, developmental and educational psychology, sociology and political science, general health professions, and computer vision and pattern recognition.
The scientist's research interests extend into applied areas such as AI-based problem solving and planning, educational games and gamification, digital games and media, topic modeling, natural language processing techniques, and multi-agent systems and negotiation.
Among their notable recent publications are:
The venues selected by the scientist for publishing demonstrate a focus on artificial intelligence as applied to interactive digital entertainment and automated planning. The most frequent publication venues include:
Collaborations have been an integral part of their research. Frequent co-authors include Rushit Sanghrajka, Eric W. Lang, Brandon Thorne, Rogelio E. Cardona Rivera, and Arnav Jhala. This network reflects a multidisciplinary approach and engagements within the AI in games and narrative planning communities.
Simon M. Lucas;Alex Panaretos;Luis Sosa;Anthony Tang
Mark O. Riedl;R. Michael Young
S.M. Lucas;A. Panaretos;L. Sosa;A. Tang
R. Michael Young;Mark O. Riedl;Mark Branly;Arnav Jhala
M.O. Riedl;R.M. Young
Mark Riedl;C. J. Saretto;R. Michael Young
Alan F. Blackwell;Carol Britton;Anna Louise Cox;Thomas R. G. Green
Mark Owen Riedl;R. Michael Young
R. Michael Young
R. Michael Young;Martha E. Pollack;Johanna D. Moore
R. Michael Young
Byung-Chull Bae;R. Michael Young
R. Michael Young;Mark Riedl
R. Michael Young
Arnav Jhala;R Michael Young
R. Michael Young
Stephen G. Ware;R. Michael Young
Mark Owen Riedl;R. Michael Young
Mark O. Riedl;R. Michael Young
Yun-Gyung Cheong;R. Michael Young
Mark O. Riedl;R. Michael Young
If you think any of the details on this page are incorrect, let us know.
When considering a future in Computer Science, there are various online degree options and career pathways to fit different goals and backgrounds. Choosing the right degree can make a significant impact on your opportunities and earning potential.
Many professionals aiming to advance their careers are asking which master's degree is most in demand in USA. Computer Science consistently ranks high, opening doors to fields like software engineering, AI, and data science.
For those seeking an accessible starting point, an associates degree online can be a great stepping stone into the tech industry. These programs often offer foundational knowledge and may lead to entry-level positions or further study.
Cost is a common concern, but there are cheapest online degrees that make quality education more affordable. Flexible online formats help you balance study with work or personal commitments.
If academic history is a concern, some online colleges that accept 2.0 gpa offer a second chance to pursue your goals, making it possible to start or continue your Computer Science journey without high entry barriers.
University of Florida
Albert Einstein College of Medicine
University of California, Berkeley
University of Michigan–Ann Arbor
Temple University
Harvard University
Semmelweis University
University of Essex
ApoVax, Inc.
University of KwaZulu-Natal
Kyoto University
University of Oslo
City University of New York
University of Groningen
University of Technology Sydney
University of Connecticut
