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  Distinguishing different roles in normative reasoning

van der Torre, L. W. N., & Tan, Y.-H. (1997). Distinguishing different roles in normative reasoning. In Proceedings of the 6th International Conference on Artificial Intelligence and Law (ICAIL-97) (pp. 225-232). New York, USA: ACM.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-39DA-6 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-39DB-4
Genre: Conference Paper

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 Creators:
van der Torre, Leendert W. N.1, Author
Tan, Yao-Hua, Author
Affiliations:
1Max Planck Society, ou_persistent13              

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 Abstract: In this paper we introduce the DIagnostic and DEcision-theoretic framework for DEontic reasoning diO(de)2. The framework diO(de)2 formalizes reasoning about violations and goals. We use this framework to discuss two theories of normative reasoning, diagnosis theory and (qualitative) decision theory. A crucial distinction between the two theories is their perspective on time. Diagnosis theory reasons about incomplete knowledge and only considers the past. It distinguishes between violations and non-violations. Qualitative decision theory reasons about decision variables and considers the future. It distinguishes between fulfilled obligations and unfulfilled obligations. Moreover, we discuss the relation between the two theories of normative reasoning and deontic logic. The theories formalize reasoning with norms, and they are thus different from deontic logic, that formalizes reasoning about norms.

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Language(s): eng - English
 Dates: 2010-03-121997
 Publication Status: Issued
 Pages: -
 Publishing info: New York, USA : ACM
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 519629
Other: Local-ID: C1256104005ECAFC-E4CC718603E56BD2C125655A004924F3-Torre97b
 Degree: -

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Title: Untitled Event
Place of Event: Melbourne, Australia
Start-/End Date: 1997

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Title: Proceedings of the 6th International Conference on Artificial Intelligence and Law (ICAIL-97)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, USA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 225 - 232 Identifier: ISBN: 0-89791-924-6