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Artificial
Intelligence in
gaming
Srirang Ranjalkar
About me
● Graduated from IIIT-Hyd in 2009
● Building games since 2011
● Published 10+ games on Google Play Store across 2D, 3D and
isometric environments
● Built games across several genres like: Casino Suite, Adventure,
Hidden Object, Board Games, Social/Viral
● One of the games I worked on (Shipwrecked) went on to become
8th top grossing game of the year 2012
History of AI in Gaming
Pacman
History of AI in Gaming
The famous Garry Kasparov vs. IBM Deep Blue, 1997
History of AI in Gaming
Alpha Go - Google DeepMind vs Lee Sedol, 2016
AI in Gaming
● Game playing has been an active area of research in AI since its
inception
● Traditional games were played between two agents (players)
● Challenge of AI was to replace 1 player to keep the agent engaged
in the game
● Birth of a Single Player Mode
How does AI work?
● What does a user need to play a game?
○ Understanding game environment
○ Available actions
○ Strategy and decision making
○ Understanding the opponent’s mindset
○ Luck*
How does AI work?
● Decision Trees
How does AI work?
● Decision Trees
● Finite State Machines
How does AI work?
● Decision Trees
● Finite State Machines
● Heuristics
Strong AI agent (Counter Challenge)
Weak AI agent (Rummy)
Future of AI in gaming
● Artificial Stupidity
● AI agent will learn about the user
● The agent will personalize the experience according to the user
● Deep Reinforcement Learning
● Integrations in AR/VR/MR
● Human Learning
Thank You
/srirangr

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Artificial intelligence in gaming

  • 2. About me ● Graduated from IIIT-Hyd in 2009 ● Building games since 2011 ● Published 10+ games on Google Play Store across 2D, 3D and isometric environments ● Built games across several genres like: Casino Suite, Adventure, Hidden Object, Board Games, Social/Viral ● One of the games I worked on (Shipwrecked) went on to become 8th top grossing game of the year 2012
  • 3. History of AI in Gaming Pacman
  • 4. History of AI in Gaming The famous Garry Kasparov vs. IBM Deep Blue, 1997
  • 5. History of AI in Gaming Alpha Go - Google DeepMind vs Lee Sedol, 2016
  • 6. AI in Gaming ● Game playing has been an active area of research in AI since its inception ● Traditional games were played between two agents (players) ● Challenge of AI was to replace 1 player to keep the agent engaged in the game ● Birth of a Single Player Mode
  • 7. How does AI work? ● What does a user need to play a game? ○ Understanding game environment ○ Available actions ○ Strategy and decision making ○ Understanding the opponent’s mindset ○ Luck*
  • 8. How does AI work? ● Decision Trees
  • 9. How does AI work? ● Decision Trees ● Finite State Machines
  • 10. How does AI work? ● Decision Trees ● Finite State Machines ● Heuristics
  • 11. Strong AI agent (Counter Challenge)
  • 12. Weak AI agent (Rummy)
  • 13. Future of AI in gaming ● Artificial Stupidity ● AI agent will learn about the user ● The agent will personalize the experience according to the user ● Deep Reinforcement Learning ● Integrations in AR/VR/MR ● Human Learning