- Home ›
- Games ›
- Educational ›
- Artificial Intelligence RPS APK
Artificial Intelligence RPS
What's Artificial Intelligence RPS APK?
Artificial Intelligence RPS is a app for Android, It's developed by MJ Projects author.
First released on google play in 8 years ago and latest version released in 8 years ago.
This app has 0 download times on Google play and rated as 4.24 stars with 62 rated times.
This product is an app in Educational category. More infomartion of Artificial Intelligence RPS on google play
Rock Paper Scissors is a simple game played by two players using hand gestures. At the same time, each player plays a gesture with the scoring as follows:
Rock beats Scissors
Paper beats Rock
Scissors beats Paper
If the game is played only once, no dominating strategy exists and the result is down to chance. If the game is played multiple times the chance element reduces as players’ next gesture is influenced by two factors. The first being the previous result (Win, Lose, Draw). The second being the previous gesture (Rock, Paper, Scissors).
Previous attempts to create an Artificial Intelligence for Rock Paper Scissors have relied on simple frequency analysis (User has played rock the most, therefore AI must play paper next) or history matching (match the last 4 four rounds to a big database of previous games and determine what the user will play next, then the AI simply counters it). In an actuarial spirit, I take a stochastic approach and instead of determining the next gesture with certainty, I flex the probabilities for Rock, Paper, Scissors and then let my AI randomly choose one. How I flex the probabilities is based on previous results and previous gestures.
Rock beats Scissors
Paper beats Rock
Scissors beats Paper
If the game is played only once, no dominating strategy exists and the result is down to chance. If the game is played multiple times the chance element reduces as players’ next gesture is influenced by two factors. The first being the previous result (Win, Lose, Draw). The second being the previous gesture (Rock, Paper, Scissors).
Previous attempts to create an Artificial Intelligence for Rock Paper Scissors have relied on simple frequency analysis (User has played rock the most, therefore AI must play paper next) or history matching (match the last 4 four rounds to a big database of previous games and determine what the user will play next, then the AI simply counters it). In an actuarial spirit, I take a stochastic approach and instead of determining the next gesture with certainty, I flex the probabilities for Rock, Paper, Scissors and then let my AI randomly choose one. How I flex the probabilities is based on previous results and previous gestures.
