Rock, Paper & Scissors is a presentation by Simran Pardeshi, Pranav Raorane, Ishika Sharma, and Aditya Shukla that uses a rock paper scissors game to illustrate how an adaptive artificial intelligence can learn and predict patterns in a person's behavior. The game analyzes a person's decision strategies to identify patterns and predict future behavior. While the optimal strategy is random and fast moves, creating the game in Python is a customizable and easy way to demonstrate artificial intelligence concepts.
2. DESCRIPTION
• The Rock , Paper & Scissor game illustrates the
basic principle of an adaptive artificial intelligence
technology. The system learns to identify pattern of a
person’s behavior by analyzing their decision
strategies in order to predict future behavior.
7. CONCLUSION
• The end strategy of a simple Rock Paper Scissors game is to be random and fast. Statistically, each
attack will tend to occur just as frequently as another, given that each is equally effective.
• So, this was an easy and fun way to create a rock paper scissors game. It is customizable, as per a
developer’s personal preference. Not just rock paper scissors, but many more games can be
developed easily in Python using various tools and libraries available.
