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Student Perspective of GridWorld

Student Perspective of GridWorld. Introduction. Roderick Baker, BSc (Hons). Computer Science. Thomas Randall, BSc (Hons). Cybernetics & Virtual Systems. Sean Wallace, BSc (Hons). Interactive Systems & Video Games Design. Synopsis. Development of AI agents for GridWorld.

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Student Perspective of GridWorld

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  1. Student Perspective of GridWorld

  2. Introduction • Roderick Baker, BSc (Hons). Computer Science. • Thomas Randall, BSc (Hons). Cybernetics & Virtual Systems. • Sean Wallace, BSc (Hons). Interactive Systems & Video Games Design.

  3. Synopsis • Development of AI agents for GridWorld. • The virtues of GridWorld. • Problems overcome in creating agents. • GridWorld as a learning tool. • Conclusion. • Questions.

  4. Visual Studio.NET • Previous Experience. • Usefulness for Creating AI. • Simplifies Debugging. • Ease of use with GridWorld. • Allows the user to browse the API with ease and get the most out of it.

  5. C# & The .NET Platform • Simple and intuitive language for all levels of developer. • Makes code simpler read and create. • Completely Object Orientated. • Has garbage collection. • .NET offered a lot of libraries easing the creation of game AI.

  6. GridWorld • Easy interface for creating game AI. • Allowed full control of the player(s) within game rules. • Offered functions to ease development. • Instant access to seeing the agent playing a game. • Replay files allowed students to view their agents progress and analyse errors.

  7. GridWorld • Trace window allowed students to potentially view behaviour as it happened. • The client offered a local server so students could compare agents. • Online server results, allows students to compete and allows agents to gauge tactics.

  8. Problems • At the time GridWorld was still in development so some errors hindered creation. • We were effectively testers for the software. • Logical errors on our part. • Keeping CPU time below the allowed limit.

  9. GridWorld vs. Conventional Teaching Methods • GridWorld was fun: • To use, develop for, and to play. • Much more motivational and involving than other methods. • Almost instant reward for hard work. • GridWorld felt tailored for AI creation. • It allows developers to simplify difficult AI concepts.

  10. Conclusion • Introduction. • Development of AI agents for GridWorld. • The virtues of GridWorld. • Problems overcome in creating agents. • GridWorld as a learning tool.

  11. Any Questions?

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