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Algorithmic Improvisation

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자료유형학위논문
서명/저자사항Algorithmic Improvisation.
개인저자Fremont, Daniel Juon.
단체저자명University of California, Berkeley. Logic & the Methodology of Science.
발행사항[S.l.]: University of California, Berkeley., 2019.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2019.
형태사항215 p.
기본자료 저록Dissertations Abstracts International 81-06A.
Dissertation Abstract International
ISBN9781392776193
학위논문주기Thesis (Ph.D.)--University of California, Berkeley, 2019.
일반주기 Source: Dissertations Abstracts International, Volume: 81-06, Section: A.
Advisor: Seshia, Sanjit A.
이용제한사항This item must not be sold to any third party vendors.
요약The increasing use of autonomy for safety-critical tasks, from operating power grids to driving cars, has led to an acute need for reliable and secure systems. The ideal approach to obtaining rigorous reliability guarantees is to automatically construct systems from formal specifications using correct-by-construction synthesis. A new dimension in this area is the synthesis of randomized systems, which, as we show in this thesis, enables a broad range of new applications in safe autonomy and other fields. This is because randomness can provide several crucial benefits to a system, including robustness, variety, and unpredictability. For example, a robot following a random route can be harder for an adversary to intercept, making the system more secure
일반주제명Computer science.
Logic.
언어영어
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