자료유형 | 학위논문 |
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서명/저자사항 | Algorithmic Improvisation. |
개인저자 | Fremont, Daniel Juon. |
단체저자명 | University of California, Berkeley. Logic & the Methodology of Science. |
발행사항 | [S.l.]: University of California, Berkeley., 2019. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
형태사항 | 215 p. |
기본자료 저록 | Dissertations Abstracts International 81-06A. Dissertation Abstract International |
ISBN | 9781392776193 |
학위논문주기 | Thesis (Ph.D.)--University of California, Berkeley, 2019. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-06, Section: A.
Advisor: Seshia, Sanjit A. |
이용제한사항 | This item must not be sold to any third party vendors. |
요약 | The 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 |
일반주제명 | Computer science. Logic. |
언어 | 영어 |
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