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020 ▼a 9780438064348
035 ▼a (MiAaPQ)AAI10789743
035 ▼a (MiAaPQ)unc:17755
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 501
1001 ▼a Dorst, Chris.
24514 ▼a The Best Predictive System Account of Laws of Nature.
260 ▼a [S.l.]: ▼b The University of North Carolina at Chapel Hill., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 162 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.
500 ▼a Adviser: Marc Lange.
5021 ▼a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2018.
520 ▼a This dissertation develops a novel theory of laws of nature in the "Best System" tradition, with the express aim of making sense of why creatures like us are interested in discovering the laws. My theory draws inspiration from David Lewis's famo
590 ▼a School code: 0153.
650 4 ▼a Philosophy of science.
650 4 ▼a Philosophy.
690 ▼a 0402
690 ▼a 0422
71020 ▼a The University of North Carolina at Chapel Hill. ▼b Philosophy.
7730 ▼t Dissertation Abstracts International ▼g 79-10A(E).
773 ▼t Dissertation Abstract International
790 ▼a 0153
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997527 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033