The Unsolvable Puzzle: Angry Birds 2 Update Problem 2018

In recent years, the physics-based simulation game Angry Birds has become a popular platform for testing artificial intelligence (AI) techniques. The game's simplicity belies its complexity, with many researchers and developers struggling to create intelligent agents that can play the game effectively. In fact, solving the decision problem of general levels in Angry Birds 2 has been proven to be a computationally hard problem.

According to a paper published by Matthew Stephenson and his co-authors, the decision problem of solving general levels in Angry Birds 2 is EXPTIME-hard. This means that it is at least as hard as the hardest problems in the complexity class EXPTIME, which includes problems such as the halting problem for Turing machines.

The proof of EXPTIME-hardness was achieved through a reduction from G2, a known EXPTIME-complete problem. In addition to EXPTIME-hardness, the paper also proved that the decision problem is NP-hard and PSPACE-hard, making it one of the most computationally difficult problems in game theory.

So what does this mean for Angry Birds 2 players? It means that creating an algorithm that can solve general levels in the game will be a significant challenge. In fact, even with the power of modern computing, solving these levels may require an impractically large amount of time and resources.

The complexity of Angry Birds 2 has been known for some time, but the recent publication of this paper brings new attention to the problem. For researchers in AI and game theory, the challenge of solving this problem presents an opportunity to develop new techniques and algorithms that can be applied to other complex problems.

Whether or not you're a fan of Angry Birds, the complexity of its decision problem is undeniable. As researchers continue to work on solving this puzzle, we may uncover new insights into the nature of computation and the limits of artificial intelligence.

Angry birds 2 update problem 2018