Improved Non-Player Character (NPC) behavior using evolutionary algorithm—A systematic review
Games, once solely intended for entertainment, have emerged as a significant research
focus in recent years, with the primary goal of enhancing the gaming experience. Research …
focus in recent years, with the primary goal of enhancing the gaming experience. Research …
Evolutionary behavior tree approaches for navigating platform games
Computer games are highly dynamic environments, where players are faced with a
multitude of potentially unseen scenarios. In this paper, AI controllers are applied to the …
multitude of potentially unseen scenarios. In this paper, AI controllers are applied to the …
Automated playtesting in collectible card games using evolutionary algorithms: A case study in hearthstone
Collectible card games have been among the most popular and profitable products of the
entertainment industry since the early days of Magic: The Gathering TM in the nineties …
entertainment industry since the early days of Magic: The Gathering TM in the nineties …
Evolutionary deckbuilding in hearthstone
One of the most notable features of collectible card games is deckbuilding, that is, defining a
personalized deck before the real game. Deckbuilding is a challenge that involves a big and …
personalized deck before the real game. Deckbuilding is a challenge that involves a big and …
Optimizing hearthstone agents using an evolutionary algorithm
Digital collectible card games are not only a growing part of the video game industry, but
also an interesting research area for the field of computational intelligence. This game genre …
also an interesting research area for the field of computational intelligence. This game genre …
Towards automatic StarCraft strategy generation using genetic programming
Among Real-Time Strategy games few titles have enjoyed the continued success of
StarCraft. Many research lines aimed at develo** Artificial Intelligences, or “bots”, capable …
StarCraft. Many research lines aimed at develo** Artificial Intelligences, or “bots”, capable …
Strategies for evolving diverse and effective behaviours in pursuit domains
T Cowan, BJ Ross - International Conference on the Applications of …, 2024 - Springer
Gamer engagement with computer opponents is an important aspect of computer games.
Players will be bored if computer opponents are predictable, and the game will be …
Players will be bored if computer opponents are predictable, and the game will be …
[HTML][HTML] Optimizing Steering Angle Prediction in Self-Driving Vehicles Using Evolutionary Convolutional Neural Networks
The global community is awaiting the advent of a self-driving vehicle that is safe, reliable,
and capable of navigating a diverse range of road conditions and terrains. This requires a lot …
and capable of navigating a diverse range of road conditions and terrains. This requires a lot …
Virtual player design using self-learning via competitive coevolutionary algorithms
Abstract The Google Artificial Intelligence (AI) Challenge is an international contest the
objective of which is to program the AI in a two-player real time strategy (RTS) game. This AI …
objective of which is to program the AI in a two-player real time strategy (RTS) game. This AI …
Analysing the influence of the fitness function on genetically programmed bots for a real-time strategy game
Finding the global best strategy for an autonomous agent (bot) in a RTS game is a hard
problem, mainly because the techniques applied to do this must deal with uncertainty and …
problem, mainly because the techniques applied to do this must deal with uncertainty and …