Episode 67 – How can we be smarter?

Current Intelligence + Artificial Intelligence = more intelligent?

BE a Scholar Tuition evolved to focus on STEM, robotics and coding. I am finding a small niche that schools and other private tuition companies do not cover yet, which is Artificial Intelligence. What if I introduce to kids how AI makes decisions? So an insight of artificial intelligence to combine with their natural intelligence will make someone smarter. The equation seems logical. Current intelligence + artificial intelligence = more intelligence. I think the topic will extend their curiosity in STEM subjects.

The plan to introduce how AI makes decisions.

My intention is to adapt the key concepts into the McRobotface Robotics Club. I am going to start with 3 approaches that an autonomous agent can use to make decisions.

  • Rule-based – Use of conditional functions in a set instructions.
  • Markov model – dependent on current state
  • Bayesian model – takes in previous experience to update beliefs

Markov Model and Bayesian Model are fundamental building blocks of autonomous systems that deals with probabilities and uncertainties. Therefore by the end of the session at the club, kids should know the difference between Markov and Bayesian and how these concepts are fundamental to the AI of today.

Let’s roll two dice…

I will use a popular board-game to discuss the Markov and Bayesian Models and other policies to play the game. A die has 6 faces and should be random. I.e. the roll can be 1 to 6. However, when you roll two dice, then 7 is the most likely outcome. If you rolled a double, is the next roll likely to be a double too?

Therefore in this session kids will learn by playing a very popular boardgame.

  • Probabilities
  • Probability density
  • Markov model
  • Bayesian model
  • Apply these concepts into a popular board-game
  • Would it work every time?

Current intelligence plus insight in artificial intelligence equal smarter. What else do we need to be “Smarter”?

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