Name
Abstract | ||
|---|---|---|
Providing compelling, realistic, immersive game worlds is one of the major goals in modern game design. The presence of unique and interesting dialogue for all of the characters in a game enhances this sense of immersion. In this paper we present the concept of an "Intentional Dialogue Line" that supports the efficient generation of multiple variations of a dialogue, where these variations are both unique and appropriate to the character who is speaking them. This paper focuses on how machine learning can be used to quickly populate the intentional dialogue lines with existing content. |
Year | Venue | Keywords |
|---|---|---|
2009 | AIIDE | machine learning,game design |
Field | DocType | Citations |
Computer science,Game art design,Game design,MULTIPLE VARIATIONS,Game Developer,Multimedia | Conference | 3 |
PageRank | References | Authors |
0.42 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher Michael Kerr | 1 | 3 | 0.42 |
| D. Szafron | 2 | 1579 | 210.88 |