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Titlebook: Husserlian Intentionality and Non-Foundational Realism; Noema and Object John J. Drummond Book 1990 Kluwer Academic Publishers 1990 Aron Gu

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书目名称Husserlian Intentionality and Non-Foundational Realism
副标题Noema and Object
编辑John J. Drummond
视频video
丛书名称Contributions to Phenomenology
图书封面Titlebook: Husserlian Intentionality and Non-Foundational Realism; Noema and Object John J. Drummond Book 1990 Kluwer Academic Publishers 1990 Aron Gu
描述The rift which has long divided the philosophical world into opposed schools-the "Continental" school owing its origins to the phenomenology of Husserl and the "analytic" school derived from Frege-is finally closing. But this closure is occurring in ways both different and in certain respects at odds with one another. On the one hand scholars are seeking to rediscover the concerns and positions common to both schools, positions from which we can continue fruitfully to address important philosophical issues. On the other hand successors to both traditions have developed criticisms of basic assumptions shared by the two schools. They have suggested that we must move not merely beyond the conflict between these two "modem" schools but beyond the kind of philosophy represented in the unity of the two schools and thereby move towards a new "postmodern" philosophical style. On the one hand, then and for example, Husserl scholarship has in recent years witnessed the development of an interpretation of Husserl which more closely aligns his phenomenology with the philosophical concerns of the "analytic" tradition. In certain respects, this should come as no surprise and is long overdue. It
出版日期Book 1990
关键词Aron Gurwitsch; Edmund Husserl; intention; language; logic
版次1
doihttps://doi.org/10.1007/978-94-009-1974-7
isbn_softcover978-94-010-7382-0
isbn_ebook978-94-009-1974-7Series ISSN 0923-9545 Series E-ISSN 2215-1915
issn_series 0923-9545
copyrightKluwer Academic Publishers 1990
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John J. Drummonderactions among social individuals in the social world, and (d) user preference and interest reflecting the user cognitive thinking in the thinking world. We show these interactions through our discussion on mining coronavirus disease 2019 (COVID-19) data in a smart world environment. The interconne
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John J. Drummond, we propose MapReduce based Multiple Linear Regression Model which is suitable for parallel and distributed processing with the purpose of predictive analytics on massive datasets. The proposed model will be based on “QR Decomposition” in decomposing big matrix training data to extract model coeffi
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ata processing framework is built to be efficiently handled large amount of Twitter user’ data. The aim of this paper is to propose healthcare system using MaxEnt classifier and Big Data processing using Hadoop framework integrated with Internet of Things architecture.
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