Mark O. Riedl mainly investigates Multimedia, Human–computer interaction, Narrative, Artificial intelligence and Storytelling. Mark O. Riedl has included themes like Cinematography and Empirical research in his Multimedia study. His work on Metaverse as part of general Human–computer interaction study is frequently linked to Filter, bridging the gap between disciplines.
His work in the fields of Narrative, such as Plot, overlaps with other areas such as Class. His Natural language study in the realm of Artificial intelligence connects with subjects such as Cognitive load. His work on Narrative criticism expands to the thematically related Storytelling.
His primary areas of study are Human–computer interaction, Artificial intelligence, Multimedia, Narrative and Storytelling. His Human–computer interaction research includes themes of Action, Context, Creativity and Reinforcement learning. Mark O. Riedl has researched Artificial intelligence in several fields, including Machine learning and Natural language processing.
Mark O. Riedl focuses mostly in the field of Multimedia, narrowing it down to matters related to Interactive storytelling and, in some cases, Agency. His work deals with themes such as Entertainment, Cognitive science and Plan, which intersect with Narrative. His Game design research is multidisciplinary, incorporating perspectives in Computer game, Space and Game mechanics.
The scientist’s investigation covers issues in Human–computer interaction, Artificial intelligence, Natural language, Reinforcement learning and Natural language processing. Mark O. Riedl works in the field of Human–computer interaction, focusing on Game design in particular. His Artificial intelligence research includes elements of Transparency and Machine learning.
His Natural language research is multidisciplinary, incorporating elements of State and Knowledge graph. His research on Reinforcement learning also deals with topics like
His scientific interests lie mostly in Human–computer interaction, Natural language, Artificial intelligence, Reinforcement learning and Action. In general Human–computer interaction study, his work on Level design often relates to the realm of Value, thereby connecting several areas of interest. Mark O. Riedl has researched Natural language in several fields, including Intelligent agent and Norm.
His work carried out in the field of Artificial intelligence brings together such families of science as Transparency and Plot. Plot is a subfield of Narrative that Mark O. Riedl tackles. The Action study combines topics in areas such as Context, Autonomous agent and Perception.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Narrative planning: balancing plot and character
Mark O. Riedl;R. Michael Young.
Journal of Artificial Intelligence Research (2010)
An architecture for integrating plan-based behavior generation with interactive game environments.
R. Michael Young;Mark O. Riedl;Mark Branly;Arnav Jhala.
J. Game Dev. (2004)
Interactive Narrative: An Intelligent Systems Approach
Mark Owen Riedl;Vadim Bulitko.
Ai Magazine (2012)
Managing interaction between users and agents in a multi-agent storytelling environment
Mark Riedl;C. J. Saretto;R. Michael Young.
adaptive agents and multi-agents systems (2003)
From linear story generation to branching story graphs
M.O. Riedl;R.M. Young.
IEEE Computer Graphics and Applications (2006)
Story generation with crowdsourced plot graphs
Boyang Li;Stephen Lee-Urban;George Johnston;Mark O. Riedl.
national conference on artificial intelligence (2013)
An Intent-Driven Planner for Multi-Agent Story Generation
Mark Owen Riedl;R. Michael Young.
adaptive agents and multi-agents systems (2004)
Believable agents and intelligent story adaptation for interactive storytelling
Mark O. Riedl;Andrew Stern.
Lecture Notes in Computer Science (2006)
Toward supporting stories with procedurally generated game worlds
Ken Hartsook;Alexander Zook;Sauvik Das;Mark O. Riedl.
computational intelligence and games (2011)
Human‐centered artificial intelligence and machine learning
Mark O. Riedl.
Human Behavior and Emerging Technologies (2019)
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