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This book is about media, mediation, and meaning. The Art of Interpretation focuses on a set of interrelated processes whereby ostensibly human-specific modes of meaning become automated by machines, formatted by protocols, and networked by infrastructures. That is, as computation replaces interpretation, information effaces meaning, and infrastructure displaces interaction. Or so it seems. Paul Kockelman asks: What does it take to automate, format, and network meaningful practices? What difference does this make for those who engage in such practices? And what is at stake? Reciprocally: How can we better understand computational processes from the standpoint of meaningful practices? How can we leverage such processes to better understand such practices? And what lies in wait? In answering these questions, Kockelman stays very close to fundamental concerns of computer science that emerged in the first half of the twentieth-century. Rather than foreground the latest application, technology or interface, he accounts for processes that underlie each and every digital technology deployed today. In a novel method, The Art of Interpretation leverages key ideas of American pragmatism-a philosophical stance that understands the world, and our relation to it, in a way that avoids many of the conundrums and criticisms of conventional twentieth-century social theory. It puts this stance in dialogue with certain currents, and key texts, in anthropology and linguistics, science and technology studies, critical theory, computer science, and media studies.
The Art of Interpretation is about media, mediation, and meaning. It focuses on a set of interrelated transformations whereby seemingly human-specific modes of meaning become automated by machines, formatted by protocols, and networked by infrastructures. It analyzes the conditions and consequences of such transformations for selfhood, social relations, and semiosis.
Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. - Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN - Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making - Edited by high-level academics and researchers in intelligent systems and neural networks - Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks
Soft computing is the common name for a certain form of natural information processing that has its original form in biology, especially in the function of human brain. It is a discipline rooted in a group of technologies such as fuzzy logic, neural networks, chaos, genetic algorithms, probabilistic reasoning and learning algorithms. Today, soft computing has become an acknowledged concept; however, for a long time, such components of soft computing have been debated and individually developed.Since its beginning in 1990, the series of IIZUKA conferences has covered various kinds of technologies that constitute soft computing. This series has played a pioneering role in promoting the development of a symbiotic relationship between the various technologies of soft computing.At IIZUKA'98, the 5th International Conference on Soft Computing and Information/Intelligent Systems, new developments and results in this field were introduced and discussed by researchers from academic, governmental and industrial institutions around the world.This volume presents the opening lecture by Prof. Walter J Freeman, the keynote speech by Dr Gen Matsumoto, the plenary lectures by 5 eminent researchers and about 230 carefully selected papers drawn from more than 25 countries. It documents current research and in-depth studies on the fundamental aspects of soft computing and their practical applications.
This book is concerned with the interdisciplinary studies applying computer technologies to the theory and practice of art therapy. The contents consist of the author's sixteen papers published, twelve patents in Korea, Japan, and the U.S.A., and other relevant materials, all organized in a logical sequence. This book is intended for art therapy courses at upper undergraduate and graduate levels. No prior computer knowledge is assumed. Interpretation of drawings no longer needs to be done manually by the therapists themselves because, as this book argues, computerized systems can perform the steps of evaluation and interpretation. The difficult concept of computer science is explained in a simple and concrete way with illustrations, sample drawings, and case studies. This book explains sta­tistical methods, various functions of a computer, technologies in digital image processing, computer algorithms, methodologies in expert systems, and the Bayesian network. All these elements can be used to improve the practice and theory in the evaluation of art and the interpretation of art. Readers do not need to worry about unfamiliar terms such as digital image, algorithm, expert system, and Bayesian network which appear here. Neither should they be concerned about pixel, cluster, edge, blurring, convex hull, regression, etc., the terms which appear later in the book. These terms will be explained with illustrations and drawings for easy understanding. Computational Art Therapy will not only promote the use of various art therapy tools but also provide a foundation for new methodologies through which art therapy researchers can develop their own methodologies to improve the practice and theory of art therapy. It will be of special interest to those studying art therapy, psychology, psychiatry, art, computer science and applied statistics.
The Art of Interpretation is about media, mediation, and meaning. It focuses on a set of interrelated transformations whereby seemingly human-specific modes of meaning become automated by machines, formatted by protocols, and networked by infrastructures. It analyzes the conditions and consequences of such transformations for selfhood, social relations, and semiosis.
From housewives to students and high-ranking officials, people from all social backgrounds in China and Taiwan visit fate calculation masters to learn about their destiny. How do clients assess the diviner’s skills? How does one become a fortune-teller? How is a person’s fate calculated? The Art of Fate Calculation explores how conceptions of fate circulate in Chinese and Taiwanese societies while resisting uniformization and institutionalization. This is not only due to the stigma of “superstition” but also to the internal dynamic of fate calculation practice and learning.
"This book comprises a collection of authors' individual approaches to the relationship between nature, science, and art created with the use of computers, discussing issues related to the use of visual language in communication about biologically-inspired scientific data, visual literacy in science, and application of practitioner's approach"--Provided by publisher.
A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
Heritage is everywhere, and an understanding of our past is increasingly critical to the understanding of our contemporary cultural context and place in global society. Visual Heritage in the Digital Age presents the state-of-the-art in the application of digital technologies to heritage studies, with the chapters collectively demonstrating the ways in which current developments are liberating the study, conservation and management of the past. Digital approaches to heritage have developed significantly over recent decades in terms of both the quantity and range of applications. However, rather than merely improving and enriching the ways in which we understand and engage with the past, this technology is enabling us to do this in entirely new ways. The chapters contained within this volume present a broad range of technologies for capturing data (such as high-definition laser scanning survey and geophysical survey), modelling (including GIS, data fusion, agent-based modelling), and engaging with heritage through novel digital interfaces (mobile technologies and the use of multi-touch interfaces in public spaces). The case studies presented include sites, landscapes and buildings from across Europe, North and Central America, and collections relating to the ancient civilisations of the Middle East and North Africa. The chronological span is immense, extending from the end of the last ice age through to the twentieth century. These case studies reveal new ways of approaching heritage using digital tools, whether from the perspective of interrogating historical textual data, or through the applications of complexity theory and the modelling of agents and behaviours. Beyond the data itself, Visual Heritage in the Digital Age also presents fresh ways of thinking about digital heritage. It explores more theoretical perspectives concerning the role of digital data and the challenges that are presented in terms of its management and preservation.