(learning) ROCK PAPER SCISSORS

can you beat the machine?

This is a technical test for self-learning AI, starting from the most basic possible game that i can apply it to. The setup here is very simple, but can obviously be expanded upon. An AI framework is just the framework, and obviously its functions, input, and output are secondary to how it “thinks”.

This is just a game of rock-paper-scissors. for extra user features, you can change music and background.

Your opponent is an AI. It learns from you. A counter tells you exactly how many games IE cycles of data, have been input into the AIs brain. The more data it has, the more it’s trained against you.

I've also gone and given you a big red button to reset the AI, but, it's got an escalating cooldown. don't rely on it completely.

How long can you last here, before this bot has you 100% figured out?

If you change your tactics, how quickly can the bot keep up?

Are you clever enough to beat the crudest, simplest, learning AI that i can currently construct?

GAMEPLAY DEMO: https://www.bitchute.com/video/icyWENNPaa5Y/

-controller support.

-a range of music and backgrounds, 2 of which are greenscreens, and 1 of which is a flat black void. can change either at will

-"big red button" connected to a cooldown timer, that scales higher and higher each time you ragequit (a count which is reset only when you close the game).

MUSIC CREDIT

-TechnoAxe

-stellardrone

developer crowdfunding via SUBSCRIBESTAR: https://www.subscribestar.com/err-arachnica

#puzzle #AI #learning #cards #strategy

UPDATE: in protest to #unity engine changes RE install fees, all download links have been removed