Machine Learning in Serious Games
The Holy Grail for any learning system is personalization and adaptive intelligence. Think Neil Stephenson’s “Young Lady’s Illustrated Primer” Machine Learning is emerging as one of the most powerful tools to achieve personalization as well as making serious games and simulations more adaptive and intelligent. Serious Play Abstract
In this session we will discuss several applications of serious games driven by AI and machine learning, including a Kaizen simulator built for Toyota Motors Asia Pacific as well as a virtual reality water treatment plant. General lessons learned for applying machine learning to make more intelligent and personalized serious games will be discussed.
In 1962, Douglas Engelbart wrote about his conceptual framework for augmenting the collective intelligence of humanity. “The system we want to improve can thus be visualized as a trained human being together with his artifacts, language, and methodology. The explicit new system we contemplate will involve as artifacts computers, and computer-controlled information-storage, information-handling, and information-display devices. The aspects of the conceptual framework that are discussed here are primarily those relating to the human being’s ability to make significant use of such equipment in an integrated system.”
We will discuss methods for combining advanced machine learning technologies and gamification with sources of data, knowledge and experts to improve the collective intelligence of any organization and, furthermore, cause the current status of organizational knowledge to be made apparent to leadership of the organization with a powerful visual interface.
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