Explicit knowledge is knowledge that the knower can make explicit by means of a verbal statement; implicit knowledge is knowledge that is not explicit. Chomskyan tacit knowledge of rules can be understood as requiring a particular structure in the content-involving explanations of transitions between internal representations. States of tacit knowledge are different from beliefs and states of ex...

This paper distinguishes two models specifying the application of implicit knowledge. According to one model, originally suggested by Reber (1967), subjects either apply sufficient knowledge to always produce a correct response or else they guess randomly (High Threshold Theory; subjects only apply knowledge when there is sufficient knowledge to exceed a threshold ensuring a correct response); ...

In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevail, while machine learning algorithms use implicit knowledge for generating linguistic knowledge. The question behind this work is: how far can we go in NLP without assuming explicit or implicit linguistic knowledge? Ho...

Design becomes more and more the art of bringing together expertise and experts from different domains in creating future products. Synthetical knowledge and hands-on skills in design, especially in industrial design, is often implicit, hardly captured and modeled for remote education. The need of transferring implicit design knowledge using computer mediated learning tools, provides not only t...

introduction: knowledge is one of the most important assets of any organization and the importance of knowledge management in the information age is considered more than ever. experts believe that organizational success or failures are associated with knowledge management. both implicit and explicit knowledge management are so important in disaster management. the aim of this study is to determ...

This article proposes a unified framework for understanding creative problem solving, namely, the explicit-implicit interaction theory. This new theory of creative problem solving constitutes an attempt at providing a more unified explanation of relevant phenomena (in part by reinterpreting/integrating various fragmentary existing theories of incubation and insight). The explicit-implicit inter...

Five experiments investigated the formation of explicit knowledge of a repeating sequence in a sequential reaction time task. Reliable explicit knowledge was obtained even though various conditions prevented the selective improvement of RTs (Exps. 1-4). This knowledge emerged early during training. Participants were able to recognize segments of the sequence (Exps. 3 and 4) or correctly assess ...

There are a number of limiting factors presently constraining the development of a truly intelligent and autonomous machine. The most significant of these is that acquiring expert knowledge continues to be a difficult and time-consuming process. Automated knowledge acquisition techniques have been partially successful in reducing the effort involved in acquiring knowledge from an expert and rep...

Abstract Translation of literary texts, especially poetry, is one of the most difficult tasks; it requires mastery and knowledge of the language system and culture, and lack of this might lead to wrong translation. This study aimed to examine the loss and gain of the sociocultural implicit meanings in the English translations of the Mu’allaqat, and assess whether the translators of the Mu’allaq...

This paper discusses some implications of knowledge creation processes in informal social networks for the development of technologies to support them. The principal point of departure are social theories of learning and the theories of organisational knowledge creation. The focus is on models for the exchange and sharing of implicit knowledge. A model of personalised learning knowledge maps is...