Editors’ Introduction to ‘Hegel and Sellars’: A Special Issue ofInternational Journal of Philosophical Studies

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Guest Editors' Introduction to the Special Issue

This Editorial is brought to you for free and open access by the Tampa Library at Scholar Commons. It has been accepted for inclusion in Genocide Studies and Prevention: An International Journal by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Recommended Citation Logan, Tricia and MacDonald, David B. (2015) "Guest Editors' Introduc...

متن کامل

Experiments in Digital Evolution (Editors' Introduction to the Special Issue)

Whether or not the field of artificial life has succeeded in doing what its name suggests, namely synthesizing life from non-living components, is a matter of contention. Clearly, this journal covers a broad range of topics related to the synthesis and simulation of living systems, but only a few articles go so far as to unabashedly study wholly artificial forms of life. The field of digital ev...

متن کامل

Editors' introduction to the special issue: papers from LREC 2014

This special issue of Language Resources and Evaluation includes a selection of extended papers from the Ninth Language Resources and Evaluation Conference, held in Reykjavik, Iceland, in May 2014. The conference drew a record number of participants, reflecting the steadily increasing interest and activity in the field of language resource creation, enhancement, management, and evaluation since...

متن کامل

Guest Editors' Introduction to the Special Issue on Bayesian Nonparametrics

BAYESIAN nonparametric models are probabilistic models defined over infinite-dimensional parameter spaces. For Gaussian process models of regression and classification functions, the parameter space consists of a set of continuous functions. For the Dirichlet process mixture models used in density estimation and clustering, the parameter space is dense in the space of probability measures. Baye...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Philosophical Studies

سال: 2019

ISSN: 0967-2559,1466-4542

DOI: 10.1080/09672559.2019.1620556