How is a Connect Four playing AI agent created?

How is a Connect Four playing AI agent created?

The game is played by dropping pieces into a game board consisting of a grid of 6×7 slots. The object is to make a vertical, horizontal or diagonal line of four pieces before the opposing player does. The agent designed in the current study is able to play against a human opponent or against another AI agent.

What can connect 4 game be used for?

This Connect 4 game will be used for implementing game-playing AI. Sample players are supplied. One takes user input, and the other plays randomly. Right now it’s set for a human player to play against a randomly playing agent, but in the future I plan to try out algorithms such as Minimax and have AI agents play against themselves.

How many agents are there in Connect Four?

Connect Four is a fairly simple game with a finite, albeit large, number of different states. Therefore, the environment is decidedly discrete. In this game, there are two agents at work. From the point of view of the AI agent, there is itself, and another agent.

How to create AI bot for Connect Four?

On bit operations, alpha-beta pruning and hard-coding initial game states to create a very strong AI agent for connect four. In the context of the ‘Informatics’ course, where the first-year engineers at the University of Ghent learn to code in Python, we set up an AI bot competition platform.

How can I teach my AI to play games?

On the right, the AI is trained and learnt how to play. The game was coded in python with Pygame, a library that allows the development of fairly simple games. On the left, the agent was not trained and had no clues on what to do. The game on the right refers to the agent after training (about 5 minutes).

What are the agents and environment of an AI system?

An AI system is composed of an agent and its environment. The agents act in their environment. The environment may contain other agents. What are Agent and Environment?

What does architecture and agent program mean in AI?

Architecture = the machinery that an agent executes on. Agent Program = an implementation of an agent function. They choose actions only based on the current percept. They are rational only if a correct decision is made only on the basis of current precept.