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Domain-Specific Languages as a Method for Representation and Evolutionary Search among Global Solution Space of Cognitively Plausible Algorithmic Behaviors
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Domain-Specific Languages as a Method for Representation and Evolutionary Search among Global Solution Space of Cognitively Plausible Algorithmic Behaviors. |
| 개인저자 | Kaulakis, Ryan. |
| 단체저자명 | The Pennsylvania State University. |
| 발행사항 | [S.l.]: The Pennsylvania State University., 2020. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2020. |
| 형태사항 | 307 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-03B. Dissertation Abstract International |
| ISBN | 9798535588698 |
| 학위논문주기 | Thesis (Ph.D.)--The Pennsylvania State University, 2020. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Advisor: Ritter, Frank E. |
| 일반주제명 | Grammar. Design of experiments. Philosophy of mind. Computer science. Artificial intelligence. Cognitive psychology. Information science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
