| タイトル | Model-Unified Planning and Execution for Distributed Autonomous System Control |
| 著者（英） | Tompkins, Paul; Rijsman, David; Fry, Chuck; Bernardini, Sara; Moreno, Maria; Aschwanden, Pascal; Baskaran, Vijay; Muscettola, Nicola; Plaunt, Chris |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 2006-01-01 |
| 言語 | eng |
| 内容記述 | The Intelligent Distributed Execution Architecture (IDEA) is a real-time architecture that exploits artificial intelligence planning as the core reasoning engine for interacting autonomous agents. Rather than enforcing separate deliberation and execution layers, IDEA unifies them under a single planning technology. Deliberative and reactive planners reason about and act according to a single representation of the past, present and future domain state. The domain state behaves the rules dictated by a declarative model of the subsystem to be controlled, internal processes of the IDEA controller, and interactions with other agents. We present IDEA concepts - modeling, the IDEA core architecture, the unification of deliberation and reaction under planning - and illustrate its use in a simple example. Finally, we present several real-world applications of IDEA, and compare IDEA to other high-level control approaches. |
| NASA分類 | Computer Systems |
| 権利 | Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/276702 |
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