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dc.contributor.author Ahmed Mustafa, 01-134182-073
dc.date.accessioned 2022-09-16T06:46:19Z
dc.date.available 2022-09-16T06:46:19Z
dc.date.issued 2022
dc.identifier.uri http://hdl.handle.net/123456789/13268
dc.description Supervised by Ms. Erum Ashraf en_US
dc.description.abstract Wisteria is a game designed to show that as much as graphics and storyline are important in a game, so is the logic of the game AI. Improving the gaming experience of the players has been the core focus of the research being conducted on game development. Improving the game AI has been a contemporary challenge in game development. Many modern games have better storylines and improved graphics but are not liked by the users because they have ordinary and lackluster AIs. Users play the games because of the interesting stories and fancy graphics but soon lose interest because of the subpar AIs. Many studies have found that improving the game AI is important for keeping users interested in games. Unlike many other games released in the market, this project is designed to cater to users that are used to playing similar games and also that are new to games as well. By using minimal AI features this project contains an AI that does not have much complex and unnecessary functionality. The game AI has been created using a behavior tree that is used for making the AI follow advanced patterns according to the situation it will face. The game also includes modern video game features such as loot bags, leveling, dynamic animations, an open world map, and character selection so as not to bore the player and keep them occupied en_US
dc.language.iso en en_US
dc.publisher Computer Science BU E8-IC en_US
dc.relation.ispartofseries BS (CS);P-1433
dc.subject Game Development en_US
dc.subject Gaming Experience en_US
dc.title Wisteria en_US
dc.type Project Reports en_US


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