Graphics/Game Technology Papers by Stephen Sheridan
In Proceedings of DIGRA 2005 Conference: Changing Views - Worlds in Play ps. 249-259, 2005
One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in compute... more One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core of any AI movement system. This paper examines pathfinding algorithms used presently in games and details their shortcomings. These shortcomings are particularly apparent when pathfinding must be carried out in real-time in dynamic environments. This paper proposes a strategy by which machine learning techniques such as Artificial Neural Networks and Genetic Algorithms can be used to enhance traditional pathfinding algorithms to solve the real-time aspect of this problem. We describe a test bed system, currently in development, that incorporates these machine learning techniques in a 3D engine game.
Papers by Stephen Sheridan
One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in compute... more One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core of any AI movement system. This report will highlight pathfinding algorithms used presently in games and their shortcomings especially when dealing with real-time pathfinding. With the advances being made in other components, such
ITB Journal, 2004
ITB Journal Neural Networks for Real-time Pathfinding in Computer Games Ross Graham, Hugh McCabe ... more ITB Journal Neural Networks for Real-time Pathfinding in Computer Games Ross Graham, Hugh McCabe & Stephen Sheridan School of ... To achieve this with traditional methods would requirerunning the pathfinding algorithm at every move, this would be computationally ...
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Graphics/Game Technology Papers by Stephen Sheridan
Papers by Stephen Sheridan