Inside Abstraction
Download Inside Abstraction PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Inside Abstraction book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Inside Abstraction
Author: Carolyn Dean
language: en
Publisher: University of Texas Press
Release Date: 2025-09-23
Illuminating the abstract art of the Inka, what it conveys about Inka values, and its relationship to those who view it. Inka visual culture is unusual in its tendency toward abstraction. Public stonework, vessels used at state feasts, garments worn by the imperial elite—these objects announcing status and power are adorned with geometric designs that refuse figuration. After searching in vain for hidden referents, many scholars have largely given up the search for meaning. Inside Abstraction develops a novel interpretation. Eminent art historian Carolyn Dean proposes that Inka geometries are neither ornamental nor coded depictions of other objects. Rather, Dean shows that in the Andean world, the designs were functionally self-aware, possessing perspectives of their own, quite literally looking back at and addressing viewers directly. Further, Dean contends that these agent-abstractions were teachers, conveying particular messages concerning social hierarchy: the relations among geometries and colors instructed viewers as to their own proper social relations. Inka designs thereby served imperial aims by wordlessly communicating the state’s values and demands for submission. Extensively illustrated and rigorously argued, Inside Abstraction is a dramatic step forward in our understanding of Inka art and political order.
Studies in Reflecting Abstraction
This translation of the French Recherches sur l'abstraction reflechissante (1977), make available in English Piaget's only treatise on reflecting abstraction - a process he came to attribute considerable importance to in his later thinking and which he believed to be responsible for many of the advances that take place in human development, especially our understanding of mathematics. Rich with empirical research on reflecting abstraction at work in the thinking of 4 to 12 year olds, the studies in this volume examine its role in many contexts of cognitive development such as: reasoning about mathematics; forming analogies; putting objects in order by size and comparing the resulting series; and navigating through a wire maze. His theoretical discussions explore the relationships between reflecting abstraction and other central processes in his later theory, such as generalization, becoming conscious, and equilibration, as the differentiation of possibilities and their integration into necessities. These discussions indicate which aspects of his later theorizing were settled and which require further thought and investigation. Studies in Reflecting Abstraction will be of interest to developmental and cognitive psychologists, educationalists, philosophers and anyone who seeks to understand human knowledge and its development.
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.