staalmedia: designing intelligence
TRANSCRIPT
Game Theory A game is a series of
decisions Info goes in: board
state, options Decision comes out:
pick a possible move Make use of statistics
Turing Test Impossible to
distinguish human from computer
AI can pretend to be a human opponent
AI can replace a lost player
Artificial Intelligence Search Problems BEST: Find the best
solution from a range FAST: Find a good
enough solution fast Making good decision
= finding a good solution
Intelligent Agents Autonomous entities Observe through
sensors Acts upon
environment using actuators
Intelligent Agents Autonomous entities Observe through
sensors Acts upon
environment using actuators
Emotions Change parameters
based on events Aggressive,
Defensive, Panic, Revenge...
Class Strategies
Trial and Error Limited number of
options Calculate best from
many tries Pick best or retry
(TAS) AI can try without
actually acting
Imperfection and Randomness
AI can input combo's perfectly
AI knows everything about the world
Add mistakes on purpose
Add randomness in any function
Conclusion No single AI solution Define entities
independent of human/AI
Find the right strategy (or mix) for your game