자료유형 | E-Book |
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개인저자 | Freeman, Rupert. |
단체저자명 | Duke University. Computer Science. |
서명/저자사항 | Eliciting and Aggregating Information for Better Decision Making. |
발행사항 | [S.l.] : Duke University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 276 p. |
소장본 주기 | School code: 0066. |
ISBN | 9780438376557 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Vincent Conitzer. |
요약 | In this thesis, we consider two classes of problems where algorithms are increasingly used to make, or assist in making, a wide range of decisions. The first class of problems we consider is the allocation of jointly owned resources among a grou |
요약 | In the first part of the thesis, we consider shared resource allocation, where we relax two common assumptions in the fair divison literature. Firstly, we relax the assumption that goods are private, meaning that they must be allocated to only a |
요약 | In the second part of the thesis, we consider the design of mechanisms for forecasting. We first consider a tradeoff between several desirable properties for wagering mechanisms, showing that the properties of Pareto efficiency, incentive compat |
일반주제명 | Artificial intelligence. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International80-02B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997999 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00027029 | 001.5 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |