Name
Title | ||
|---|---|---|
vBattle: a new framework to simulate medium-scale battles in individual-per-individual basis |
Abstract | ||
|---|---|---|
Strategy games such as Warcraft™ or UFO™ franchises or RPG games like Never Winter Nights™ or Baldur Gate™ are successful blockbusters in video game industry. These games are based on battles simulated individual per individual. These type of games is a very interesting scenario to develop multilevel strategies or emergent behavior in multiagent systems. This paper presents a new computational intelligence framework, named VBATTLE, for the evaluation of learning strategies in video games. The framework simulates a battle game in which two or more contenders are fighting in units with a high-detail individual-per-individual resolution. This simulation considers aspects of (1) actions parameters (action time, exhaustion consumption), (2) non-deterministic action resolution, (3) hierarchical intelligence (individual vs. unit strategies), and (4) scenario interaction. The VBATTLE framework is designed to have both a 3D visual representation of executions (either on-line or postmortem visualization) as well as a server-based engine to perform learning tasks. This contribution presents the design principles of VBATTLE framework, its objectives, the possible applications for developing computational intelligence algorithms. In addition, preliminary results using a limited version of the framework are also presented. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CIG.2009.5286492 | CIG |
Keywords | Field | DocType |
battle game,action time,hierarchical intelligence,battles simulated individual,new computational intelligence framework,new framework,computational intelligence algorithm,individual-per-individual basis,rpg game,high-detail individual-per-individual resolution,medium-scale battle,interesting scenario,vbattle framework,artificial intelligence,engines,real time systems,multi agent systems,computational modeling,algorithm design and analysis,data visualization,emergent behavior,computational intelligence,databases,games,data visualisation,3d visualization,learning artificial intelligence | Data visualization,Algorithm design,Military computing,Simulation,Computer science,Game industry,Multi-agent system,Artificial intelligence,Machine learning | Conference |
Citations | PageRank | References |
1 | 0.40 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis Peña | 1 | 18 | 3.19 |
| Sascha Ossowski | 2 | 1646 | 158.02 |
| José-María Peña | 3 | 137 | 9.97 |