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Sai Raghunandan G

MSc Project

MSc Thesis: Multi Agent System with Artificial Intelligence

Artificial Intelligence in such is a vast area with various branches and methods to implement.
Simulation of an environment where there are different agents interacting communicating
and responding comprises a multi agent system.Implementing such a system with robust
communication system taking care of the message encapsulation and bandwidth has always
been a challenge. This project is one of those attempts to simulate an environment
with multiple agents with different AI behavior. A simple pong game was implemented
as a setup to the system and finally a simple maze game with the multi agent environment is simulated.

Doxygen: Classes

Project Demo - The Environment with Graph Nodes

The agents traversing on Graph Network nodes from Raghunandan GS on Vimeo.

Project Demo - Agents Obstacle avoidance

The agents avoiding obstacles from Raghunandan GS on Vimeo.

Project Demo - Agents Collisions

The agents avoiding collisions with other agents from Raghunandan GS on Vimeo.

Project Demo - Agents Maze Solving

The agent solving the maze finding the exit from Raghunandan GS on Vimeo.

Project Demo - Agents Chasing the user controlled Agent

The agents finding shortest path from Raghunandan GS on Vimeo.

Project Demo - The Maze Game

Masters Project: The Maze Game from Raghunandan GS on Vimeo.

Project Demo - The Initial Setup

The Pong Game from Raghunandan GS on Vimeo.

Screen Shots

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Agents: Red-White-Green: Artificial Agents Blue: User Controlled


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The Pong Court with Bounding Box


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The Ball agent colliding with the Player Agent



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The Graph network comprising the nodes on which the agents traverse


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The Edges connecting the nodes



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The Agents avoiding Collisions with each other



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The Maze with all the Game Entities