National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Multi-Agent and Optimalisation Methods for Stealth Games
Láncoš, Jan ; Vídeňský, František (referee) ; Zbořil, František (advisor)
This bachelor thesis deals with the opponents' behaviour in stealth-based video games. It's main focus is the credibility of said behaviour in comparison to the opponents' real life counterparts and the overall immersiveness of the experience. The thesis describes the usage of the A* algorithm for dynamic pathfinding in a two-dimensional space. Furthermore it describes the opponents' patrolling system, their ability to detect the player's presence and also their ability to cooperate and communicate while trying to chase the player down. One playable level demonstrating the described behaviour has also been created as part of this thesis using the C++ language. The thesis can be used as an inspiration for anyone interested in making their own intelligent systems for computer games of a similar type.
Multi-Agent and Optimalisation Methods for Stealth Games
Láncoš, Jan ; Vídeňský, František (referee) ; Zbořil, František (advisor)
This bachelor thesis deals with the opponents' behaviour in stealth-based video games. It's main focus is the credibility of said behaviour in comparison to the opponents' real life counterparts and the overall immersiveness of the experience. The thesis describes the usage of the A* algorithm for dynamic pathfinding in a two-dimensional space. Furthermore it describes the opponents' patrolling system, their ability to detect the player's presence and also their ability to cooperate and communicate while trying to chase the player down. One playable level demonstrating the described behaviour has also been created as part of this thesis using the C++ language. The thesis can be used as an inspiration for anyone interested in making their own intelligent systems for computer games of a similar type.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.