Name
Abstract | ||
|---|---|---|
This paper presents Mammoth, a massively multiplayer game research framework designed for experimentation in an academic setting. Mammoth provides a modular architecture where different components, such as the network engine, the replication engine, or interest management, can easily be replaced. Subgames allow a researcher to define different game goals, for instance, in order to evaluate the effects of different team-play tactics on the game performance. Mammoth also offers a modular and flexible infrastructure for the definition of non-player characters with behavior controlled by complex artificial intelligence algorithms. This paper focuses on the Mammoth architecture, demonstrating how good design practices can be used to create a modular framework where researchers from different research domains can conduct their experiments. The effectiveness of the architecture is demonstrated by several successful research projects accomplished using the Mammoth framework. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1536513.1536566 | FDG |
Keywords | Field | DocType |
modular architecture,mammoth architecture,multiplayer game research framework,mammoth framework,modular framework,different component,game performance,different team-play tactic,different research domain,different game goal,affective computing,artificial intelligent,research framework,emotion,game design | Interest management,Architecture,Simulation,Computer science,Game design,Human–computer interaction,Affective computing,Modular design,Conceptual framework,Multimedia,Multiplayer game,Mammoth | Conference |
Citations | PageRank | References |
29 | 1.19 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jörg Kienzle | 1 | 732 | 69.38 |
| Clark Verbrugge | 2 | 411 | 39.15 |
| Kemme, B. | 3 | 1773 | 115.46 |
| Alexandre Denault | 4 | 61 | 4.28 |
| Michael Hawker | 5 | 29 | 1.19 |