1. Applications of AI:
game playing
Games are a testing ground for human intelligence, and in recent
years, AI has made significant progress in mastering complex games.
This presentation explores the use of AI in game playing and its
impact on the industry and players.
2. Introduction to AI in Gaming
The Definition
AI in gaming involves
using algorithms and
machine learning to
create intelligent agents
that can interact with
human players and
learn from experience.
The Applications
AI is being used in a
variety of game genres,
including strategy,
puzzle, racing, and even
first-person shooters.
The Benefits
AI allows for more
personalized gameplay,
better enemy AI, and
even smarter NPCs.
3. History of AI in Game Playing
Early Days
AI was first used in simple
board games like checkers
and chess, where it quickly
surpassed human ability.
The 80s and 90s
AI was used to create
enemy characters in early
video games like Pac-Man
and Space Invaders.
The Modern Era
Recent advancements in
machine learning and other
AI techniques have led to
the development of more
sophisticated and realistic
gaming AIs.
4. AI Techniques Used in Game Playing
1
Expert Systems
AI that relies on pre-programmed
knowledge and rulesets to make
decisions.
2
Neural Networks
AI that uses multiple layers of
interconnected nodes to recognize
patterns and learn from experience.
3
Genetic Algorithms
AI that evolves and improves over time
by combining and mutating "genetic"
algorithms to optimize performance.
5. Examples of AI in Popular Games
Chess
The first game mastered by
computers, with Deep Blue
famously defeating world
champion Garry Kasparov
in 1997.
Go
Considered one of the most
complex games in the
world, AI AlphaGo defeated
human world champion
Lee Sedol in 2016.
Shooter Games
AI in shooter games
creates realistic and
challenging enemies with
advanced behaviors and
tactics.
6. Impact of AI on Game Industry
Innovation
AI has opened up new
possibilities for more
intelligent and
immersive gameplay,
leading to a surge in
innovative game
design.
Efficiency
AI has made game
development more
efficient, enabling
smaller teams to create
games with more
complex mechanics and
in shorter time frames.
Accessibility
AI has made games
more accessible to all
players by allowing for
personalized difficulty
and removing barriers
to entry.
7. Challenges in Developing Game-
Playing AIs
1 Algorithm
Complexity
Developing advanced
AI systems requires
complex algorithms
and deep
understanding of
machine learning.
2 Scalability
AI for games must be
scalable to handle
complex game logic
and real-time
interactions with
players.
3 Game-Specificity
Each game has
unique mechanics
and parameters that
require tailoring of AI
systems, increasing
complexity and
development costs.
8. Future of AI in Game Playing
1 AI as Co-Creator
AI is being used to create game elements like maps and levels, freeing up
game designers to focus on other aspects.
2 AI-Powered Procedural Generation
AI is beginning to be used to procedurally generate game content like items,
weapons, and enemies, creating infinitely more varied and personalized
gameplay.
3 AI as Game Master
AI is being developed that can manage and orchestrate complex multiplayer
games, acting as a "game master" to create challenging and dynamic
gameplay.
