The algorithmic beauty of plants
The algorithmic beauty of plants
An architecture of a knowledge-based simulation engine
WSC '94 Proceedings of the 26th conference on Winter simulation
Explanation-based Scenario Generation for Reactive System Models
ASE '98 Proceedings of the 13th IEEE international conference on Automated software engineering
Procedural modeling of buildings
ACM SIGGRAPH 2006 Papers
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So called "serious games" have used games (in a sense, virtual environments) for reasons other than entertainment. Particularly within the training community, they have garnered increasing attention over recent years. However, means of generating new scenarios that have increased training effectiveness has continued to be lacking. Because creating new scenarios is a time-intensive and costly exercise. existing scenarios are commonly reused with only minor changes, a practice that can hamper training effectiveness over time. We have been pursuing a thrust of research in automated scenario generation. In this paper, we present our work in the use of Functional L-systems for generating scenarios. We first review some of our previous work in defining scenarios; then show how Functional L-systems are used to build up the scenarios.