Project Overview

This project involved the design and implementation of an AI to play the classic board game Scotland Yard. The AI was built to efficiently strategize movements, predict opponents' moves, and optimize gameplay to either evade or catch the target player.

Key Features

• Object-oriented design in Java for maintainable and scalable code.
• Pathfinding algorithms to optimize moves on the game board.
• Opponent prediction logic using heuristic analysis.
• Efficient decision-making algorithms for dynamic game scenarios.

Technical Challenges

One of the primary challenges was implementing an efficient pathfinding algorithm that could operate within the constraints of the game's dynamic state. Additionally, predicting the moves of multiple opponents required the development of a robust heuristic evaluation system.

Technologies Used

• Programming Language: Java
• Design Patterns: Object-Oriented Programming (OOP)
• Algorithms: Pathfinding and Heuristic Evaluation

Project Outcome

The AI demonstrated a high level of strategic decision-making, significantly improving gameplay outcomes. It successfully showcased efficient opponent tracking and decision-making capabilities.

Future Improvements

Potential future enhancements include integrating a machine learning component to adapt strategies based on gameplay data and optimizing the pathfinding logic for faster computations.