Procedural content generation (PCG) for games has existed since the 1980s and is
becoming increasingly important for creating game worlds, backstory, and characters across …

Abstract Procedural Content Generation (PCG) has been a part of video games for the
majority of their existence and have been an area of active research over the past decade …

This paper investigates the suitability of using Generative Adversarial Networks (GANs) to
generate stable structures for the physics-based puzzle game Angry Birds. While previous …

Procedurally generating cohesive and interesting game environments is challenging and
time-consuming. In order for the relationships between the game elements to be natural …

This paper presents a procedural level generation algorithm for physics-based puzzle
games similar to Angry Birds. The proposed algorithm is capable of creating varied, stable …

This paper presents an overview of the second AIBIRDS level generation competition, held
jointly at the 2017 IEEE Conference on Computational Intelligence and Games and the 26th …

Generating feasible levels for physics-based puzzle games is a complex and time-
consuming task. This is because the mechanics of these games are based on realistic …

Over the past few years the Angry Birds AI competition has been held in an attempt to
develop intelligent agents that can successfully and efficiently solve levels for the video …

This paper presents an adaptive level generation algorithm for the physics-based puzzle
game Angry Birds. The proposed algorithm is based on a pre-existing level generator for this …

In this paper, we describe our design of a generator for automatically generating fun levels
in the famous game Angry Birds and its clone games. In particular, we aim at generation of …