Daniel Blank Bücher

The book offers a critical examination of the manuscripts known as 'I. Feuerbach,' exploring their transformation into a canonical text since the 1920s. The first part details the political history of how these manuscripts were edited and translated, emphasizing their significance in Marx's theory of history. The second part provides an original English rendition of the fragmented texts, including previously overlooked corrections by Marx and Engels, allowing readers to engage with their collaborative thought process. An analytical introduction further elucidates the evolution of their ideas.

Since the 1920s, scholars have promoted a set of manuscripts, long abandoned by Marx and Engels, to canonical status in book form as The German Ideology, and in particular its 'first chapter,' known as 'I.

"Since the 1920s scholars have promoted a set of manuscripts, long abandoned by Marx and Engels, to canonical status in book form as The German Ideology, and in particular its 'first chapter', known as 'I. Feuerbach'. Part One of this revolutionary study relates in detail the political history through which these manuscripts were editorially fabricated into editions and translations so that they could represent an important exposition of Marx's 'theory of history'. Part Two presents a wholly original view of the so-called 'Feuerbach' manuscripts in a page-by-page English-language rendition of these discontinuous fragments. By including the hitherto devalued corrections that each author made in draft, the new text invites the reader into a unique laboratory for their collaborative work. An 'Analytical Introduction' shows how Marx's and Engels's thinking developed in duologue as they altered individual words and phrases on these 'left-over' polemical pages"-- Provided by publisher

In times of an ever increasing amount of data and a growing diversity of data types in different application contexts, there is a strong need for large-scale and ? exible indexing and search techniques. Metric access methods (MAMs) provide this flexibility, because they only assume that the dissimilarity between two data objects is modeled by a distance metric. Furthermore, scalable solutions can be built with the help of distributed MAMs. Both IF4MI and RS4MI, which are presented in this thesis, represent metric access methods. IF4MI belongs to the group of centralized MAMs. It is based on an inverted file and thus offers a hybrid access method providing text retrieval capabilities in addition to content-based search in arbitrary metric spaces. In opposition to IF4MI, RS4MI is a distributed MAM based on resource description and selection techniques. Here, data objects are physically distributed. However, RS4MI is by no means restricted to a certain type of distributed information retrieval system. Various application ? elds for the resource description and selection techniques are possible, for example in the context of visual analytics. Due to the metric space assumption, possible application fields go far beyond content-based image retrieval applications which provide the example scenario here.