# ELIMINATION from Design to Analysis

**Authors:** Ahmed Khalifa, Dan Gopstein, Julian Togelius

arXiv: 1905.06379 · 2019-05-17

## TL;DR

This paper presents the design and analysis of an elimination puzzle game generated by a constrained evolutionary algorithm, including insights into player behavior and difficulty progression.

## Contribution

It introduces a novel level generation method for elimination puzzles and provides a comprehensive analysis of player interactions and difficulty shaping.

## Key findings

- Level generator produces a sawtooth difficulty curve
- Player behavior insights derived from nearly a thousand users
- Game design effectively guides player engagement

## Abstract

Elimination is a word puzzle game for browsers and mobile devices, where all levels are generated by a constrained evolutionary algorithm with no human intervention. This paper describes the design of the game and its level generation methods, and analysis of playtraces from almost a thousand users who played the game since its release. The analysis corroborates that the level generator creates a sawtooth-shaped difficulty curve, as intended. The analysis also offers insights into player behavior in this game.

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/1905.06379/full.md

## References

14 references — full list in the complete paper: https://tomesphere.com/paper/1905.06379/full.md

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Source: https://tomesphere.com/paper/1905.06379