Inferential Knowledge

Author(s):  
Brian Haymes
Author(s):  
Claudio de Almeida

Contrary to millennial thought, inferential knowledge does seem to arise in certain cases of reasoning to which false premises are evidentially essential. The phenomenon refutes all of the well-known epistemologies that account for inferential knowledge. I offer an explanation of the phenomenon based on a fairly conservative revision to the defeasibility theory of knowledge, and explain why Peter Klein’s proposed solution fails. The explanation put forward here aims at giving us these two highly desirable results: (a) something we have never had and may not have noticed we needed, a defeasibility theory that is compatible with epistemological fallibilism, and, (b) within this revised, fallibilistic version of the defeasibility theory, an explanation of the benign/malignant distinction for false beliefs that completes the defeasibilist resolution of the Gettier Problem.


2012 ◽  
Vol 112 (1pt1) ◽  
pp. 1-28 ◽  
Author(s):  
Marie McGinn

2011 ◽  
Vol 14 (2) ◽  
pp. 153-167 ◽  
Author(s):  
Thor Grünbaum

Author(s):  
Ольга Васильевна Голубева

Статья посвящена изучению научных подходов к феномену имплицитности, представленных в трудах Ч.С. Пирса, Г.П. Грайса и его последователей, в работах Тверской психолингвистической школы под руководством А.А. Залевской. Проведённые исследования доказывают наличие имплицитного выводного компонента в динамической структуре значения единицы языка, активируемого в процессе естественной коммуникации. Имплицитное знание представляет собой интегративную структуру, составную часть внутреннего контекста индивида, репрезентирующую сформированный ранее оптимальный способ идентификации значения познающим субъектом. The article is devoted to the investigation of scientific approaches to the implicitness phenomenon, presented in the works of Ch.S. Peirce, H.P. Grice and his followers, the researches of the Tver School of Psycholinguistics headed by A.A. Zalevskaya. The studies carried out prove the presence of an implicit component in the dynamic structure of a language unit meaning, activated in the process of live communication. Implicit (inferential) knowledge is an integrative structure, an integral part of the internal context of an individual (term by A.A. Zalevskaya), representing the previously formed efficient way of identifying meaning which a person comprehends.


1985 ◽  
Vol 35 (139) ◽  
pp. 191
Author(s):  
James G. Mazoue

Author(s):  
Iben Have

Musical experience is often related to an emotional and imaginative engagement of the listener. Discourses of journalistic documentaries relate primarily to inferential knowledge systems in which the uses of background music as a communicative device become an object of epistemological critique. By listening to different voices – primarily from four focus group interviews – the article will discuss attitudes towards musical soundtracks in documentaries, attitudes being negotiated between emotional immersion and critical reflection, with the concept of manipulation as an underlying theme. In the end, the article will argue for the need for an acoustemological approach (Feld, 1996) to study the epistemological potential of sound in audiovisual media.


Author(s):  
Maarten Sap ◽  
Ronan Le Bras ◽  
Emily Allaway ◽  
Chandra Bhagavatula ◽  
Nicholas Lourie ◽  
...  

We present ATOMIC, an atlas of everyday commonsense reasoning, organized through 877k textual descriptions of inferential knowledge. Compared to existing resources that center around taxonomic knowledge, ATOMIC focuses on inferential knowledge organized as typed if-then relations with variables (e.g., “if X pays Y a compliment, then Y will likely return the compliment”). We propose nine if-then relation types to distinguish causes vs. effects, agents vs. themes, voluntary vs. involuntary events, and actions vs. mental states. By generatively training on the rich inferential knowledge described in ATOMIC, we show that neural models can acquire simple commonsense capabilities and reason about previously unseen events. Experimental results demonstrate that multitask models that incorporate the hierarchical structure of if-then relation types lead to more accurate inference compared to models trained in isolation, as measured by both automatic and human evaluation.


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