Results for 'Hayden Kee'

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Hayden Kee
Fordham University
  1.  32
    Platonic and Aristotelian Influences in the Philosophy of Language: A Case for the Priority of the Cratylus.Hayden Kee - 2016 - Maritain Studies/Etudes Maritainiennes 32:72-82.
    Aristotle’s De Interpretatione has been referred to as the most influential text to be written in the history of semantics. I argue, however, that it is Plato who lays the foundation for subsequent reflection on signification. In the Cratylus, Plato confronts the two prevalent views of his time on the nature of the relationship between a name and a thing named: conventionalism, which holds that there is an arbitrary, imposed relationship between names and what they name; and naturalism, which holds (...)
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  2. Narrative Structures, Narratives of Abuse, and Human Rights.Diana Tietjens Meyers - 2009 - In Lisa Tessman (ed.), Feminist Ethics and Social and Political Philosophy: Theorizing the Non- Ideal. Kluwer Academic Publishers.
    This paper explores the relation between victims’ stories and normativity. As a contribution to understanding how the stories of those who have been abused or oppressed can advance moral understanding, catalyze moral innovation, and guide social change, this paper focuses on narrative as a variegated form of representation and asks whether personal narratives of victimization play any distinctive role in human rights discourse. In view of the fact that a number of prominent students of narrative build normativity into their accounts, (...)
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  3.  17
    Probabilities on Sentences in an Expressive Logic.Marcus Hutter, John W. Lloyd, Kee Siong Ng & William T. B. Uther - 2013 - Journal of Applied Logic 11 (4):386-420.
    Automated reasoning about uncertain knowledge has many applications. One difficulty when developing such systems is the lack of a completely satisfactory integration of logic and probability. We address this problem directly. Expressive languages like higher-order logic are ideally suited for representing and reasoning about structured knowledge. Uncertain knowledge can be modeled by using graded probabilities rather than binary truth-values. The main technical problem studied in this paper is the following: Given a set of sentences, each having some probability of being (...)
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