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Notes Towards Cooperative AI- [electronic resource]
![Notes Towards Cooperative AI - [electronic resource]](/Users/Baul/Images/book.png)
Notes Towards Cooperative AI- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214100129
- ISBN
- 9798379712068
- DDC
- 004
- 서명/저자
- Notes Towards Cooperative AI - [electronic resource]
- 발행사항
- [S.l.]: : Cornell University., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(115 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
- 주기사항
- Advisor: Halpern, Joe.
- 학위논문주기
- Thesis (Ph.D.)--Cornell University, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약In this work we explore four questions around the foundations of cooperative artificial intelligence. What types of beliefs are necessary to enable joint behavior? How can we determine the intent an agent has in doing an action? How ought we ascribe blame in scenarios where multiple agents could cooperate to avoid a negative outcome? How can we combine causal information from multiple agents who each have different areas of expertise? We hope that some of the work presented in this dissertation can help kick-start fruitful conversations and work towards developing effective cooperative AI.
- 일반주제명
- Computer science.
- 일반주제명
- Logic.
- 키워드
- Cooperative AI
- 키워드
- Agents
- 기타저자
- Cornell University Computer Science
- 기본자료저록
- Dissertations Abstracts International. 84-12B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520240214100129
■006m o d
■007cr#unu||||||||
■020 ▼a9798379712068
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aFriedenberg, Meir David.▼0(orcid)0009-0002-4289-4404
■24510▼aNotes Towards Cooperative AI▼h[electronic resource]
■260 ▼a[S.l.]:▼bCornell University. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(115 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 84-12, Section: B.
■500 ▼aAdvisor: Halpern, Joe.
■5021 ▼aThesis (Ph.D.)--Cornell University, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aIn this work we explore four questions around the foundations of cooperative artificial intelligence. What types of beliefs are necessary to enable joint behavior? How can we determine the intent an agent has in doing an action? How ought we ascribe blame in scenarios where multiple agents could cooperate to avoid a negative outcome? How can we combine causal information from multiple agents who each have different areas of expertise? We hope that some of the work presented in this dissertation can help kick-start fruitful conversations and work towards developing effective cooperative AI.
■590 ▼aSchool code: 0058.
■650 4▼aComputer science.
■650 4▼aLogic.
■653 ▼aCooperative AI
■653 ▼aMulti-agent systems
■653 ▼aAgents
■653 ▼aFruitful conversations
■690 ▼a0984
■690 ▼a0800
■690 ▼a0395
■71020▼aCornell University▼bComputer Science.
■7730 ▼tDissertations Abstracts International▼g84-12B.
■773 ▼tDissertation Abstract International
■790 ▼a0058
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16931859▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
