AI in AM: Bridging to Gamification and Gaming
AMP Newsletter Series - Mastering Asset Management Decisions
Topics Covered
Integration of AI concepts from the AMP Newsletter’s “AI in AM” series into gamification for asset management games.
Translation of foundational AM and AI definitions, phased adoption models, and human-AI interfaces into game mechanics like levels and tools.
Application of systems engineering principles and risk management standards to design game features such as life-cycle stages and scenarios-based planning.
Use of agentic workflows and DoDAF viewpoints for advanced game developing using AI agents as participants.
Benefits of gamification for decision making, continual improvement, and innovation in AM sectors that are reliant on built infrastructure.
Learning Objectives
Understand how AI-enabled AM frameworks can be gamified to create interactive simulations for decision-making and value optimization.
Learn to map AM concepts like phased AI adoption and risk management to game progression systems and mechanics.
Explore the use of ISO standards and engineering principles in designing immersive decision making and strategy games.
Gain insights into agentic AI in gaming for allocating human-AI agency in virtualize AM decision making and scenario development.
Recognize the potential of gamification to enhance training, stakeholder engagement, and innovation in asset management.
Key Takeaways – listed at the end of the article
Introduction
In the evolving landscape of asset management (AM), artificial intelligence (AI) is revolutionizing decision-making frameworks, as detailed in the AMP Newsletter’s “AI in AM” series. This article extends how AI-enabled AM concepts can be translated into engaging games and gaming experiences via gamification, transforming complex standards and processes into interactive decision making. By gamifying AM frameworks, developers can optimize assets, manage risks, and generate value through gaming environments. This approach accelerates unity of effort and skill development through AM Framework guided real world decision by leveraging AI . This bridge not only democratizes AM knowledge but also enhances unity of purpose, innovation, and stakeholder engagement in sectors like built infrastructure asset management.
