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Belief and Knowledge: Mapping the Cognitive Landscape

Rowman & Littlefield Publishers (1997)

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  1. The epistemology of scientific evidence.Douglas Walton & Nanning Zhang - 2013 - Artificial Intelligence and Law 21 (2):173-219.
    In place of the traditional epistemological view of knowledge as justified true belief we argue that artificial intelligence and law needs an evidence-based epistemology according to which scientific knowledge is based on critical analysis of evidence using argumentation. This new epistemology of scientific evidence (ESE) models scientific knowledge as achieved through a process of marshaling evidence in a scientific inquiry that results in a convergence of scientific theories and research results. We show how a dialogue interface of argument from expert (...)
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  • A verisimilitudinarian analysis of the Linda paradox.Gustavo Cevolani, Vincenzo Crupi & Roberto Festa - 2012 - VII Conference of the Spanish Society for Logic, Methodology and Philosphy of Science.
    The Linda paradox is a key topic in current debates on the rationality of human reasoning and its limitations. We present a novel analysis of this paradox, based on the notion of verisimilitude as studied in the philosophy of science. The comparison with an alternative analysis based on probabilistic confirmation suggests how to overcome some problems of our account by introducing an adequately defined notion of verisimilitudinarian confirmation.
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  • On making mistakes in Plato: Thaeatetus 187c-200d.Catherine Rowett - 2012 - Topoi 31 (2):151-166.
    In this paper I explore a famous part of Plato’s Theaetetus where Socrates develops various models of the mind (picturing it first as a wax tablet and then as an aviary full of specimen birds). These are to solve some puzzles about how it is possible to make a mistake. On my interpretation, defended here, the discussion of mistakes is no digression, but is part of the refutation of Theaetetus’s thesis that knowledge is “true doxa”. It reveals that false doxa (...)
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  • (1 other version)Inferentialism, degrees of commitment, and ampliative reasoning.Jesús Zamora Bonilla, Xavier de Donato Rodríguez & Javier González de Prado Salas - 2017 - Synthese 198 (Suppl 4):909-927.
    Our purpose in this paper is to contribute to a practice-based characterization of scientific inference. We want to explore whether Brandom’s pragmatist–inferentialist framework can suitably accommodate several types of ampliative inference common in scientific reasoning and explanation (probabilistic reasoning, abduction and idealisation). First, we argue that Brandom’s view of induction in terms of merely permissive inferences is inadequate; in order to overcome the shortcoming of Brandom’s proposal, we put forward an alternative conception of inductive, probabilistic reasoning by appeal to the (...)
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  • (1 other version)Inferentialism, degrees of commitment, and ampliative reasoning.Rodríguez Xavier de Donato, Bonilla Jesús Zamora & Javier González De Prado Salas - 2017 - Synthese 198 (Suppl 4):909-927.
    Our purpose in this paper is to contribute to a practice-based characterization of scientific inference. We want to explore whether Brandom’s pragmatist–inferentialist framework can suitably accommodate several types of ampliative inference common in scientific reasoning and explanation (probabilistic reasoning, abduction and idealisation). First, we argue that Brandom’s view of induction in terms of merely permissive inferences is inadequate; in order to overcome the shortcoming of Brandom’s proposal, we put forward an alternative conception of inductive, probabilistic reasoning by appeal to the (...)
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