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  1. Staged Narrative
    Poetics and the Messenger in Greek Tragedy
    Autor*in: Barrett, James
    Erschienen: [2002]; ©2003
    Verlag:  University of California Press, Berkeley, CA

    The messenger who reports important action that has occurred offstage is a familiar inhabitant of Greek tragedy. A messenger informs us about the death of Jocasta and the blinding of Oedipus, the madness of Heracles, the slaughter of Aigisthos, and... mehr

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    Standort:
    Gottfried Wilhelm Leibniz Bibliothek - Niedersächsische Landesbibliothek
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    Standort:
    Bibliotheks-und Informationssystem der Carl von Ossietzky Universität Oldenburg (BIS)
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    Universitätsbibliothek Osnabrück
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    The messenger who reports important action that has occurred offstage is a familiar inhabitant of Greek tragedy. A messenger informs us about the death of Jocasta and the blinding of Oedipus, the madness of Heracles, the slaughter of Aigisthos, and the death of Hippolytus, among other important events. Despite its prevalence, this conventional figure remains only little understood. Combining several critical approaches—narrative theory, genre study, and rhetorical analysis—this lucid study develops a synthetic view of the messenger of Greek tragedy, showing how this role illuminates some of the genre's most persistent concerns, especially those relating to language, knowledge, and the workings of tragic theater itself. James Barrett gives close readings of several plays including Aeschylus's Persians, Sophocles' Electra and Oedipus Tyrannus, and Euripides' Bacchae and Rhesos. He traces the literary ancestry of the tragic messenger, showing that the messenger's narrative constitutes an unexplored site of engagement with Homeric epic, and that the role illuminates fifth-century b.c. experimentation with modes of speech. Breaking new ground in the study of Athenian tragedy, Barrett deepens our understanding of many central texts and of a form of theater that highlights the fragility and limits of human knowledge, a theme explored by its use of the messenger

     
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  2. Algorithmic Decision-Making Safeguarded by Human Knowledge
    Autor*in: Chen, Ningyuan; Hu, Ming; Li, Wenhao
    Erschienen: 2022
    Verlag:  SSRN, [S.l.]

    Commercial AI solutions provide analysts and managers with data-driven business intelligence for a wide range of decisions, such as demand forecasting and pricing. However, human analysts may have their own insights and experiences about the... mehr

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Commercial AI solutions provide analysts and managers with data-driven business intelligence for a wide range of decisions, such as demand forecasting and pricing. However, human analysts may have their own insights and experiences about the decision-making that is at odds with the algorithmic recommendation. In view of such a conflict, we provide a general analytical framework to study the augmentation of algorithmic decisions with human knowledge: the analyst uses the knowledge to set a guardrail by which the algorithmic decision is clipped if the algorithmic output is out of bound, and seems unreasonable. We study the conditions under which the augmentation is beneficial relative to the raw algorithmic decision. We show that when the algorithmic decision is asymptotically optimal with large data, the non-data-driven human guardrail usually provides no benefit. However, we point out three common pitfalls of the algorithmic decision: (1) lack of domain knowledge, such as the market competition, (2) model misspecification, and (3) data contamination. In these cases, even with sufficient data, the augmentation from human knowledge can still improve the performance of the algorithmic decision

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
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    Schriftenreihe: Rotman School of Management Working Paper ; No. 4281867
    Schlagworte: algorithmic decision; human knowledge; model misspecification; data contamination
    Umfang: 1 Online-Ressource (49 p)
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    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 17, 2022 erstellt
  3. John Fowles
    Autor*in: Acheson, James
    Erschienen: 1998
    Verlag:  Macmillan Education, Oxford ; Palgrave

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