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Notes Towards Cooperative AI.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Notes Towards Cooperative AI./
Author:	Friedenberg, Meir David.
Description:	1 online resource (115 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Contained By:	Dissertations Abstracts International84-12B.
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30426013click for full text (PQDT)
ISBN:	9798379712068

Notes Towards Cooperative AI.
Friedenberg, Meir David.

Notes Towards Cooperative AI. - 1 online resource (115 pages)

Source: Dissertations Abstracts International, Volume: 84-12, Section: B.

Thesis (Ph.D.)--Cornell University, 2023.

Includes bibliographical references

In 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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379712068Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Cooperative AIIndex Terms--Genre/Form:

542853
Electronic books.

Notes Towards Cooperative AI.
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245 1 0 $a Notes Towards Cooperative AI.
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500 $a Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
500 $a Advisor: Halpern, Joe.
502 $a Thesis (Ph.D.)--Cornell University, 2023.
504 $a Includes bibliographical references
520 $a In 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 523869
650 4 $a Logic. $3 529544
653 $a Cooperative AI
653 $a Multi-agent systems
653 $a Agents
653 $a Fruitful conversations
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690 $a 0800
690 $a 0395
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710 2 $a Cornell University. $b Computer Science. $3 2092437
773 0 $t Dissertations Abstracts International $g 84-12B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30426013 $z click for full text (PQDT)