Author : Paul Kockelman
Publisher : Oxford University Press
Page : 249 pages
File Size : 13,23 MB
Release : 2017
Category : Computers
ISBN : 019063653X
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.
Author : Theresa K. Lant
Publisher : Psychology Press
Page : 343 pages
File Size : 38,59 MB
Release : 2000-07
Category : Business & Economics
ISBN : 1135667195
A scholarly book in Management, this book will appeal to those interested in the subject of cognition and its impact on organizational studies. Contributors include such famous names as James March and William Starbuck.
Author : William Edwin Ricker
Publisher :
Page : 0 pages
File Size : 16,45 MB
Release : 2010-06
Category : Technology & Engineering
ISBN : 9781932846232
Computation and Interpretation of Biological Statistics of Fish Populations, first published in 1975, deals with the general field of biological statistics of fish populations. It is a compilation of the more important procedures used to estimate abundance, age composition, rate of growth, and mortality rates in fish populations, with working examples of all the computations. Computation and Interpretation of Biological Statistics of Fish Populations is one of the most highly cited scientific references in the field of fisheries.
Author : Paul Kockelman
Publisher : Oxford University Press
Page : 249 pages
File Size : 42,60 MB
Release : 2017-06-19
Category : Language Arts & Disciplines
ISBN : 0190636556
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.
Author : John V. Guttag
Publisher : MIT Press
Page : 466 pages
File Size : 20,24 MB
Release : 2016-08-12
Category : Computers
ISBN : 0262529629
The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.
Author : Tom Stuart
Publisher : "O'Reilly Media, Inc."
Page : 389 pages
File Size : 38,46 MB
Release : 2013-05-15
Category : Computers
ISBN : 144933010X
Finally, you can learn computation theory and programming language design in an engaging, practical way. Understanding Computation explains theoretical computer science in a context you’ll recognize, helping you appreciate why these ideas matter and how they can inform your day-to-day programming. Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in modern languages, with little or no formal training in computer science. Understand fundamental computing concepts, such as Turing completeness in languages Discover how programs use dynamic semantics to communicate ideas to machines Explore what a computer can do when reduced to its bare essentials Learn how universal Turing machines led to today’s general-purpose computers Perform complex calculations, using simple languages and cellular automata Determine which programming language features are essential for computation Examine how halting and self-referencing make some computing problems unsolvable Analyze programs by using abstract interpretation and type systems
Author : Gerald Jay Sussman
Publisher : MIT Press
Page : 580 pages
File Size : 33,68 MB
Release : 2015-02-06
Category : Science
ISBN : 0262028964
The new edition of a classic text that concentrates on developing general methods for studying the behavior of classical systems, with extensive use of computation. We now know that there is much more to classical mechanics than previously suspected. Derivations of the equations of motion, the focus of traditional presentations of mechanics, are just the beginning. This innovative textbook, now in its second edition, concentrates on developing general methods for studying the behavior of classical systems, whether or not they have a symbolic solution. It focuses on the phenomenon of motion and makes extensive use of computer simulation in its explorations of the topic. It weaves recent discoveries in nonlinear dynamics throughout the text, rather than presenting them as an afterthought. Explorations of phenomena such as the transition to chaos, nonlinear resonances, and resonance overlap to help the student develop appropriate analytic tools for understanding. The book uses computation to constrain notation, to capture and formalize methods, and for simulation and symbolic analysis. The requirement that the computer be able to interpret any expression provides the student with strict and immediate feedback about whether an expression is correctly formulated. This second edition has been updated throughout, with revisions that reflect insights gained by the authors from using the text every year at MIT. In addition, because of substantial software improvements, this edition provides algebraic proofs of more generality than those in the previous edition; this improvement permeates the new edition.
Author : Andrew M. Pitts
Publisher : Cambridge University Press
Page : 375 pages
File Size : 32,29 MB
Release : 1997-01-30
Category : Computers
ISBN : 0521580579
The aim of this volume is to present modern developments in semantics and logics of computation in a way that is accessible to graduate students. The book is based on a summer school at the Isaac Newton Institute and consists of a sequence of linked lecture course by international authorities in the area. The whole set have been edited to form a coherent introduction to these topics, most of which have not been presented pedagogically before.
Author : Avi Wigderson
Publisher : Princeton University Press
Page : 434 pages
File Size : 17,26 MB
Release : 2019-10-29
Category : Computers
ISBN : 0691189137
From the winner of the Turing Award and the Abel Prize, an introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography
Author : Gordana Dodig Crnkovic
Publisher : World Scientific
Page : 530 pages
File Size : 21,78 MB
Release : 2011
Category : Computers
ISBN : 9814295477
This volume provides a cutting-edge view of the world's leading authorities in fields where information and computation play a central role.
