Inspiration

The game was born from a fascination with game theory and human decision-making. I wanted to create a social experiment that explores how communities navigate uncertainty, trust, and strategic thinking. By designing a simple yet intriguing minesweeper variant, I aimed to provide insights into collective behavior and decision-making processes.

What it does

Angels vs Devils is a daily community-driven minesweeper game that transforms a classic puzzle into a social experiment:

  • Players are presented with a 3x3 grid containing a single hidden mine
  • The goal is to safely navigate the grid by relying on or challenging community-placed danger flags
  • After completing the grid, players choose to be an "Angel" (accurately flagging the mine) or a "Devil" (intentionally misleading others)
  • A dynamic scoring system rewards strategic play: a. Angels gain 5 points for safe grid completion b. Devils gain 2 points when a mine detonates c. Devils also gain 5 points if a player joins their team through deception

How I built it

The game was developed as a platform that:

Challenges I ran into

  • Designing a balanced scoring system that encourages both cooperation and strategic deception
  • Creating a user interface that clearly communicates game mechanics
  • Developing a system to prevent repeated exploitation of the game's mechanics

Accomplishments that I'm proud of

  • Creating a unique social experiment that goes beyond traditional gaming
  • Developing a platform that encourages critical thinking and strategic decision-making
  • Building a community-driven game that adapts and evolves based on player interactions
  • Designing a simple yet profound mechanism to explore trust and deception

What I learned

  • The complexity of human decision-making under uncertainty
  • How small game design choices can significantly impact player behavior
  • The importance of creating flexible, adaptive game mechanics

What's next for Angels vs Devils

  • Experimenting with different grid sizes to modify complexity
  • Refining the scoring system based on community feedback
  • Implementing advanced analytics to track and visualize player behaviors
  • Adding more layers of strategy and interaction
  • Exploring potential educational and research applications of the game's core mechanics

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