Unified behavior framework in discrete event simulation systems
| Autor: | Alexander J Kamrud, Douglas D Hodson, Gilbert L Peterson, Brian G Woolley |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Object-oriented programming business.industry Computer science Robotics 02 engineering and technology computer.software_genre Intelligent agent 020901 industrial engineering & automation Modeling and Simulation Performance engineering 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Discrete event simulation business Engineering (miscellaneous) computer Graphical user interface Coding (social sciences) |
| Zdroj: | The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology. 14:471-481 |
| ISSN: | 1557-380X 1548-5129 |
| Popis: | Intelligent agents provide simulations a means to add lifelike behavior in place of manned entities. When implemented, typically a single intelligent agent model (or approach to defining decision making), such as rule-based, behavior trees, neural networks, etc., is selected. This choice introduces restrictions into what behaviors agents can manifest, and can require significant testing in edge cases. This paper presents the incorporation and application of the Unified Behavior Framework (UBF) into the Advanced Framework for Simulation, Integration, and Modeling environment. The UBF provides the flexibility to implement any and all behavior-based systems, allowing the developer to rapidly assemble a decision making agent that leverages multiple paradigms or approaches. The UBF achieves this by leveraging several key software engineering principles: modular design, scalability through reduced code complexity, simplified development and testing through abstraction, and the promotion of code reuse. The use of UBF to define intelligent agents within a 2v2 Integrated Air Defense System is demonstrated. |
| Databáze: | OpenAIRE |
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