Johanna Pirker
How AI is shaping our games
#1about 6 minutes
Defining AI beyond the hype and its historical context
AI is not a new concept, and its definition often involves systems that learn and adapt, though many historical applications were simpler than they appeared.
#2about 7 minutes
Creating the illusion of intelligence for game NPCs
Game AI aims for an "illusion of intelligence" rather than perfect performance, using techniques like "artificial stupidity" to ensure the game remains fun and winnable for the player.
#3about 9 minutes
Training AI to master complex games like Chess and StarCraft
AI has achieved major milestones by defeating human champions in games like Chess, Go, and StarCraft, which serve as valuable environments for testing and advancing AI research.
#4about 3 minutes
Using procedural content generation to build game worlds
Procedural content generation (PCG) uses algorithms to create vast game content like worlds in Minecraft or weapons in Borderlands, enabling replayability and saving development time.
#5about 2 minutes
Analyzing player data to understand different play styles
Machine learning techniques like clustering can analyze player data to identify distinct behavioral profiles, helping designers understand how different people engage with their games.
#6about 3 minutes
Making AI a central element of the core gameplay loop
Instead of being a background system, AI can be a core gameplay mechanic through design patterns like making the AI a trainee, a role model, or a visualized system for the player to learn.
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Matching moments
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Using games like Minecraft and StarCraft to advance AI
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Exploring traditional AI techniques used in classic games
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Using complex games to train advanced AI models
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Final perspectives on the future of AI in software
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Navigating the current AI hype and research secrecy
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