Heuristic search for physics-based problems: angry birds in PDDL+
This paper studies how a domain-independent planner and combinatorial search can be
employed to play AngryBirds, a well established AI challenge problem. To model the game …
employed to play AngryBirds, a well established AI challenge problem. To model the game …
General board game concepts
E Piette, M Stephenson… - … IEEE Conference on …, 2021 - ieeexplore.ieee.org
Many games often share common ideas or aspects between them, such as their rules,
controls, or playing area. However, in the context of General Game Playing (GGP) for board …
controls, or playing area. However, in the context of General Game Playing (GGP) for board …
General game heuristic prediction based on ludeme descriptions
M Stephenson, DJNJ Soemers… - … IEEE Conference on …, 2021 - ieeexplore.ieee.org
This paper investigates the performance of different general-game-playing heuristics for
games in the Ludii general game system. Based on these results, we train several …
games in the Ludii general game system. Based on these results, we train several …
The 2017 AIBIRDS competition
This paper presents an overview of the sixth AIBIRDS competition, held at the 26th
International Joint Conference on Artificial Intelligence. This competition tasked participants …
International Joint Conference on Artificial Intelligence. This competition tasked participants …
The 2017 aibirds level generation competition
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 …
jointly at the 2017 IEEE Conference on Computational Intelligence and Games and the 26th …
Agent-based adaptive level generation for dynamic difficulty adjustment in angry birds
M Stephenson, J Renz - arXiv preprint arXiv:1902.02518, 2019 - arxiv.org
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 …
game Angry Birds. The proposed algorithm is based on a pre-existing level generator for this …
[HTML][HTML] Intelligent Agents and Causal Inference: Enhancing Decision-Making through Causal Reasoning
JI Vélez Bedoya, M González Bedia, LF Castillo Ossa - Applied Sciences, 2024 - mdpi.com
This study examines the incorporation of causal inference methods into intelligent entities
and examines the benefits of utilizing causal reasoning to improve decision-making …
and examines the benefits of utilizing causal reasoning to improve decision-making …
Deceptive angry birds: Towards smarter game-playing agents
M Stephenson, J Renz - … of the 13th International Conference on the …, 2018 - dl.acm.org
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 …
develop intelligent agents that can successfully and efficiently solve levels for the video …
Active matrix completion for algorithm selection
M Mısır - … Conference on Machine Learning, Optimization, and …, 2019 - Springer
The present work accommodates active matrix completion to generate cheap and
informative incomplete algorithm selection datasets. Algorithm selection is being used to …
informative incomplete algorithm selection datasets. Algorithm selection is being used to …
LangBirds: An Agent for Angry Birds using a Large Language Model
The game Angry Birds is a challenging problem for artificial intelligence in that it requires
physical reasoning ability. Previous approaches require domain knowledge or playing data …
physical reasoning ability. Previous approaches require domain knowledge or playing data …