Forming Abstraction
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Forming Abstraction
Author: Adele Nelson
language: en
Publisher: Univ of California Press
Release Date: 2022-01-04
Art produced outside hegemonic centers is often seen as a form of derivation or relegated to a provisional status. Forming Abstraction turns this narrative on its head. In the first book-length study of postwar Brazilian art and culture, Adele Nelson highlights the importance of exhibitionary and pedagogical institutions in the development of abstract art in Brazil. By focusing on the formation of the São Paulo Biennial in 1951; the early activities of artists Geraldo de Barros, Lygia Clark, Waldemar Cordeiro, Hélio Oiticica, Lygia Pape, and Ivan Serpa; and the ideas of critics like Mário Pedrosa, Nelson illuminates the complex, strategic processes of citation and adaption of both local and international forms. The book ultimately demonstrates that Brazilian art institutions and abstract artistic groups—and their exhibitions of abstract art in particular—served as crucial loci for the articulation of societal identities in a newly democratic nation at the onset of the Cold War.
Process Control Engineering
This book surveys methods, problems, and tools used in process control engineering. Its scope has been purposely made broad in order to permit an overall view of this subject. This book is intended both for interested nonspecialists who wish to become acquainted with the discipline of process control engineering and for process control engineers, who should find it helpful in identifying individual tasks and organizing them into a coherent whole. A central concern of this treatment is to arrive at a consistent and comprehensive way of thinking about process control engineering and to show how the several specialities can be organically fitted into this total view.
Abstraction in Artificial Intelligence and Complex Systems
Author: Lorenza Saitta
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-06-05
Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive Sciences. This book first provides the reader with an overview of the notions of abstraction proposed in various disciplines by comparing both commonalities and differences. After discussing the characterizing properties of abstraction, a formal model, the KRA model, is presented to capture them. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications. It is the impact of abstraction in Artificial Intelligence, Complex Systems and Machine Learning which creates the core of the book. A general framework, based on the KRA model, is presented, and its pragmatic power is illustrated with three case studies: Model-based diagnosis, Cartographic Generalization, and learning Hierarchical Hidden Markov Models.