Implementation of Systems and Algorithms deriving motivation from :
- Game Theory
- Machine Learning
- Multi-Agent Systems
- Automaton Systems
Min-Max algorithm is a decision tree that results in maximizing player's utility while minimizing opponent's utility. We notice in zero-sum games, it is more optimal to try and reduce the opponent's utility than maximizing our own. This is the core idea behind our solver in this case.
This is a system of decentralized agents, moving without collisions or deadlocks (under constraints). Motivation for the program is a research paper attached with the code.