An epistemic and dynamic approach to abductive reasoning: selecting the best explanation

Nepomuceno–Fernández, Ángel; Toscano, Fernando Soler; Velázquez–Quesada, Fernando R.

doi:10.1093/jigpal/jzt013

Cited by 10 publications

(2 citation statements)

References 36 publications

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“…In this section we introduce an application of K(s) to the selection of the best abductive explanation, in the context of dynamic epistemic logic (DEL). The presentation is based on previous papers where we use the same logical tools [14,17,12], but the selection criteria are now different. Here, an approximation to K(s) is applied to choose among several abductive explanations.…”

Section: A Proposal Using Epistemic Logicmentioning

confidence: 99%

Which is the least complex explanation? Abduction and complexity

Soler-Toscano

2019

Preprint

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What is abductive reasoning and when is it used? First, it is a kind of inference. In a broad sense, a logical inference is any operation that, starting with some information, allows us to obtain some other information. People are continually doing inference. For example, I cannot remember which of the two keys in my pocket opens the door of my house. I try with the first one but it does not open. So I conclude that it should be the other. In this case, the inference starts with some data (premises): one of the two keys opens the door, but the first I tried did not open. I reach some new information (conclusion): it is the second key.Inference (or reasoning) does not always follow the same way. In the example, if I know that one of the keys opens my house and I cannot open with the first key, it is necessary that the second opens. When this is the case (that is, the conclusion follows necessarily from the premises), then we are facing a deductive inference. Given that the conclusion is a necessary consequence of the premises, there is no doubt that the conclusion is true, whenever premises are all true: the door must be opened with the second key.But there are many contexts in which we cannot apply deductive reasoning. Sometimes, we use it but we become surprised by the outcome. What happens if finally the second key does not open the door? This kind of surprise was studied by the philosopher Charles S. Peirce as the starting point of abductive reasoning:

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Section: A Proposal Using Epistemic Logicmentioning

confidence: 99%

Which is the least complex explanation? Abduction and complexity

Soler-Toscano

2019

Preprint

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“…The role of KnoW in text activation through translation is crucial, firstly because it is the recursive generator of the predictions necessary to interpret the text and, secondly, because it influences the translating process by informing the choices translators make. Epistemic approaches, for example to abductive reasoning (Nepomuceno-Fernandez, Soler-Toscano, & Velazquez-Quesada, 2013), to cognitive therapy (Kruglanski, 1981) or to writing instruction (Donovan & McClelland, 1980) acknowledge the socially constructed nature of knowledge (Latour & Woolgar, 1986) and are centred on the assumption that perceptions 6 are changed into coherent experiences that are eventually transmuted into more abstract sorts of knowledge (Dowst in Donovan & McClelland, 1980, p. 69). The pattern of this process is understandably circular: once a new piece is added to abstract knowledge, it will be ready to be used for the evaluation of new perceptions to be analysed, organised, and added to what is known about the world (KnoW).…”

Section: The Epistemic Approach To Translatingmentioning

confidence: 99%

Italian Translations of the Works of P.G.Wodehouse: an Epistemic Approach

Valentino¹

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This dissertation addresses the area of Translation and Humour Studies where the two disciplines overlap. My main original contribution is an Epistemic Approach to the translation process that focuses on the role that knowledge plays in the process of producing, reading and translating a written fictional text. Moreover, I propose a model for the description of the process of translation, tools to identify and evaluate items of verbally expressed humour, and a methodology to classify their renderings in translation.The study investigates the Italian translations of the works by the English humorist P. G. Wodehouse. It is based on a vast primary literature (87 books) translated into Italian (176 translations and 579 editions) for which I collected metadata, available for research in the form of an Excel spreadsheet. In the light of the Epistemic Approach, this work analyses and describes texts from the translations commissioned by 16Italian publishers to 63 translators from 1928 to 2017.After an introductory chapter where I present my model of text activation and the Epistemic Approach to translation, the project begins with a presentation of the data I collected and an exposition of the complex publishing history of Wodehouse's works in Italy. In the second chapter, I identify a definition of style suitable for both quantitative and qualitative interdisciplinary empirical research and apply it to systematically describe Wodehouse's style. The third chapter presents the main theories developed in Humour Studies, the key concepts I identified to describe Wodehouse's humour and the tools I developed to assess it. Chapter 4 and Chapter 5 show the results of the analyses I performed on numerous Italian translations and retranslations. I conclude by presenting the contributions that my approach and my findings offer to the disciplines of Translation and Humour Studies and possible future developments.iii

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How Surprising! Mirativity, Evidentiality and Abductive Inference

Gómez

Fontaine

2021

Logic, Argumentation &Amp; Reasoning

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An epistemic and dynamic approach to abductive reasoning: selecting the best explanation

Cited by 10 publications

References 36 publications

Which is the least complex explanation? Abduction and complexity

Which is the least complex explanation? Abduction and complexity

Italian Translations of the Works of P.G.Wodehouse: an Epistemic Approach

How Surprising! Mirativity, Evidentiality and Abductive Inference

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