Artificial intelligence for Dummies: It's All In The Game (Part 4)
:)
6 years ago in #steemstem by nikolanikola (67)
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I think you must tell us 1) how you programmed those images to be self-made and 2) are they conscious? :D
Lmaooo
Maybe I'll write about that in my next post, stay tuned :P
Hello @nikolanikola :)
I was looking forward to what you were going to bring us next in your series :) I was interested in this one because my husband loves playing chess against the computer. I particularly liked the section What exactly AI does while it’s playing a game?, especially when you discuss heuristics. It is all so relatable to my field :)
Well, you did say at the beginning that we could look at our situations in life as if they are a game. After all, we should all be working on decisions that yield the best outcome for us.
All the best to you my dear :*
Hi dear Abi :)
It's flattering to know that someone is somewhere waiting for my next post in this series :)
Yes, heuristics could be found in other sciences, not just in computer related. As a matter of facts, psychology is pretty important when it comes to creating of some higher level of AI, because at the end we're trying to "bring life" to something and to live with it in this world :)
Of course we should bring our best, but sometimes the best outcome for us means the worse outcome for someone other. Then we should make a small compromise.
Thank you for stopping by, hope you are well :)
Here's one Wednesday kiss for you 😜 😘
Oh! 😍 Wednesday kisses are awesome! And, because I’m not greedy like someone I know ( just saying 😌), I am very happy with one! 😃😛
I was considering to give you another one, because I'm not thrifty like someone I know, but I've just changed my mind now 😜
AHahahahaha ahahahahaha
This is great! On chess and artificial intelligence, the Kasparov vs Deep Blue match was epic, but projects like AlphaZero and Leela are even more impressive. The Monte Carlo algorithm seems to be better than MinMax in this field.
Hi @eniolw, thanks :))
The Monte Carlo can be extremely useful in cases when we don't have fully observable environment like when we play cards or when we have some stochastic process like throwing dice :)
Minimax was just an example how this logic works, I personally don't know is it still used somewhere today:)
It is! conventional chess engines use extensively MinMax as search algorithm, but in December of last year, Google proved with AlphaZero that Monte Carlo and reinforcement learning can achieve better results. That is why Leela Chess was born and currently she has caught top chess engines in playing strength.
Just gonna resteem this so that I can have it on my feed as reference for another time! Insightful article!
Thank you @digitalpnut :)
Nicely put together post and a good top-level summary on alpha-beta pruning.
Got a good chuckle from the
I might use that in the future -with attributions of course ;-)
Posted using Partiko Android
hmm maybe I should put some copyright license to that?🤔🤔
Thanks @jasonbu!:))
LOL - had to open my mouth :-)
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TrufflePigGreat post! What amazes me most is that a human defeated a computer that could calculate 100 million moves per second. That's impressive!
Thanks @anevolvedmonkey :)
Yes, but it wasn't some regular human, it was The Human :D
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