dc.contributor.author |
Singhe, Manul R. |
|
dc.date.accessioned |
2020-06-02T13:32:53Z |
|
dc.date.available |
2020-06-02T13:32:53Z |
|
dc.date.issued |
2019 |
|
dc.identifier.citation |
Singhe, Manul R. (2019) A Dynamic World Generation System Based on Player Decision & Storyline. BSc. Dissertation Informatics Institute of Technology |
en_US |
dc.identifier.other |
2014254 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/467 |
|
dc.description.abstract |
This research addresses the problem of single player games having low replay value. An in-depth analysis and review of the problem is discussed. This system suggest the possible method of overcoming this problem by combing already existing technologies and techniques to add high replay value to single player games by trying to eradicate the problem. By utilizing procedural generation and AI to work in real-time, the research propose the solution of developing a system that generates the game environment, inclusive of non-player characters, collectables, pick-ups and other game related content to be generated based on the player character’s attributes and the game state. The literature reviews shows in depth the literature that was used and the knowledge gained from them to be incorporated in development of this system. The testing and evaluation shows what was achieved through this project and the implementation discusses in-depth how it was achieved |
en_US |
dc.subject |
computer games |
en_US |
dc.title |
A Dynamic World Generation System Based on Player Decision & Storyline |
en_US |
dc.type |
Thesis |
en_US |