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Author: Jon McCormack
Publisher: Springer Science & Business Media
ISBN: 3642317278
Category : Computers
Languages : en
Pages : 441
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Book Description
This interdisciplinary volume introduces new theories and ideas on creativity from the perspectives of science and art. Featuring contributions from leading researchers, theorists and artists working in artificial intelligence, generative art, creative computing, music composition, and cybernetics, the book examines the relationship between computation and creativity from both analytic and practical perspectives. Each contributor describes innovative new ways creativity can be understood through, and inspired by, computers. The book tackles critical philosophical questions and discusses the major issues raised by computational creativity, including: whether a computer can exhibit creativity independently of its creator; what kinds of creativity are possible in light of our knowledge from computational simulation, artificial intelligence, evolutionary theory and information theory; and whether we can begin to automate the evaluation of aesthetics and creativity in silico. These important, often controversial questions are contextualised by current thinking in computational creative arts practice. Leading artistic practitioners discuss their approaches to working creatively with computational systems in a diverse array of media, including music, sound art, visual art, and interactivity. The volume also includes a comprehensive review of computational aesthetic evaluation and judgement research, alongside discussion and insights from pioneering artists working with computation as a creative medium over the last fifty years. A distinguishing feature of this volume is that it explains and grounds new theoretical ideas on creativity through practical applications and creative practice. Computers and Creativity will appeal to theorists, researchers in artificial intelligence, generative and evolutionary computing, practicing artists and musicians, students and any reader generally interested in understanding how computers can impact upon creativity. It bridges concepts from computer science, psychology, neuroscience, visual art, music and philosophy in an accessible way, illustrating how computers are fundamentally changing what we can imagine and create, and how we might shape the creativity of the future. Computers and Creativity will appeal to theorists, researchers in artificial intelligence, generative and evolutionary computing, practicing artists and musicians, students and any reader generally interested in understanding how computers can impact upon creativity. It bridges concepts from computer science, psychology, neuroscience, visual art, music and philosophy in an accessible way, illustrating how computers are fundamentally changing what we can imagine and create, and how we might shape the creativity of the future.
Author: Jon McCormack
Publisher: Springer Science & Business Media
ISBN: 3642317278
Category : Computers
Languages : en
Pages : 441
Get Book Here
Book Description
This interdisciplinary volume introduces new theories and ideas on creativity from the perspectives of science and art. Featuring contributions from leading researchers, theorists and artists working in artificial intelligence, generative art, creative computing, music composition, and cybernetics, the book examines the relationship between computation and creativity from both analytic and practical perspectives. Each contributor describes innovative new ways creativity can be understood through, and inspired by, computers. The book tackles critical philosophical questions and discusses the major issues raised by computational creativity, including: whether a computer can exhibit creativity independently of its creator; what kinds of creativity are possible in light of our knowledge from computational simulation, artificial intelligence, evolutionary theory and information theory; and whether we can begin to automate the evaluation of aesthetics and creativity in silico. These important, often controversial questions are contextualised by current thinking in computational creative arts practice. Leading artistic practitioners discuss their approaches to working creatively with computational systems in a diverse array of media, including music, sound art, visual art, and interactivity. The volume also includes a comprehensive review of computational aesthetic evaluation and judgement research, alongside discussion and insights from pioneering artists working with computation as a creative medium over the last fifty years. A distinguishing feature of this volume is that it explains and grounds new theoretical ideas on creativity through practical applications and creative practice. Computers and Creativity will appeal to theorists, researchers in artificial intelligence, generative and evolutionary computing, practicing artists and musicians, students and any reader generally interested in understanding how computers can impact upon creativity. It bridges concepts from computer science, psychology, neuroscience, visual art, music and philosophy in an accessible way, illustrating how computers are fundamentally changing what we can imagine and create, and how we might shape the creativity of the future. Computers and Creativity will appeal to theorists, researchers in artificial intelligence, generative and evolutionary computing, practicing artists and musicians, students and any reader generally interested in understanding how computers can impact upon creativity. It bridges concepts from computer science, psychology, neuroscience, visual art, music and philosophy in an accessible way, illustrating how computers are fundamentally changing what we can imagine and create, and how we might shape the creativity of the future.
Author: Sheena Vaidyanathan
Publisher: Quarry Books
ISBN: 1631595814
Category : Juvenile Nonfiction
Languages : en
Pages : 147
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Book Description
Creative Coding in Python presents over 30 creative projects that teach kids how to code in the easy and intuitive programming language, Python. Creative Coding in Python teaches the fundamentals of computer programming and demonstrates how to code 30+ fun, creative projects using Python, a free, intuitive, open-source programming language that's one of the top five most popular worldwide and one of the most popular Google search terms in the U.S. Computer science educator Sheena Vaidyanathan helps kids understand the fundamental ideas of computer programming and the process of computational thinking using illustrations, flowcharts, and pseudocode, then shows how to apply those essentials to code exciting projects in Python: Chatbots: Discover variables, strings, integers, and more to design conversational programs. Geometric art: Use turtle graphics to create original masterpieces. Interactive fiction: Explore booleans and conditionals to invent "create your own adventure" games. Dice games: Reuse code to devise games of chance. Arcade games and apps: Understand GUI (graphical user interfaces) and create your own arcade games and apps. What’s next? Look at exciting ways to use your powerful new skills and expand your knowledge of coding in Python. Creative Coding in Python gives kids the tools they need to create their own computer programs.
Author: Arthur I. Miller
Publisher: MIT Press
ISBN: 0262539624
Category : Computers
Languages : en
Pages : 429
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Book Description
An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends. But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans—and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature.
Author: Marcus Du Sautoy
Publisher: Belknap Press
ISBN: 0674244710
Category : Computers
Languages : en
Pages : 321
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Book Description
“A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times
Author: Yasmin Kafai
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 188
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Book Description
This book is about the computer clubhouse, both the idea and the place that inspires youth to think about themselves as competent, creative, and critical learners. So much of the social life of young people has moved online and participation in the digital public has become an essential part of youth identities. The clubhouse makes an important contribution not just in local urban communities but also as a model for after-school learning environments globally. The book includes a scalable model for providing at-risk youth an array of media design and computing experiences. It also includes examples of media created in the clubhouse, ranging from digital stories, video games, interface designs, and digital art projects.
Author: Tony Veale
Publisher: Springer
ISBN: 3319436104
Category : Computers
Languages : en
Pages : 403
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Book Description
Computational creativity is an emerging field of research within AI that focuses on the capacity of machines to both generate and evaluate novel outputs that would, if produced by a human, be considered creative. This book is intended to be a canonical text for this new discipline, through which researchers and students can absorb the philosophy of the field and learn its methods. After a comprehensive introduction to the idea of systematizing creativity the contributions address topics such as autonomous intentionality, conceptual blending, literature mining, computational design, models of novelty, evaluating progress in related research, computer-supported human creativity and human-supported computer creativity, common-sense knowledge, and models of social creativity. Products of this research will have real consequences for the worlds of entertainment, culture, science, education, design, and art, in addition to artificial intelligence, and the book will be of value to practitioners and students in all these domains.
Author: Johann Götschl
Publisher: Springer Science & Business Media
ISBN: 9401103690
Category : Philosophy
Languages : en
Pages : 288
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Book Description
JOHANN GOTSCHL Over the last decades, social philosophers, economists. sociologists, utility and game theorists, biologists, mathematicians, moral philosophers and philosophers have created totally new concepts and methods of understanding the function and role of humans in their modern societies. The years between 1953 and 1990 brought drastic changes in the scientific foundations and dynamic of today's society. A burst of entirely new, revolutionary ideas, similar to those which heralded the beginning of the twentieth century in physics, dominates the picture. This book also discusses the ongoing refutation of old concepts in the social sciences. Some of them are: the traditional concepts ofrationality, for example, based on maximization of interests, the linearity of axiomatic methods, methodological individualism, and the concept of a static society. Today the revolutionary change from a static view of our society to an evolutionary one reverberates through all social sciences and will dominate the twenty-first century. In an uncertain and risky world where cooperation and teamwork is getting more and more important, one cannot any longer call the maximization of one's own expectations of utility or interests "rational" .
Author: Alexandra Bonnici
Publisher: Frontiers Media SA
ISBN: 2889666026
Category : Science
Languages : en
Pages : 170
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Book Description
Author:
Publisher: Springer
ISBN: 9783642317286
Category :
Languages : en
Pages : 456
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Book Description
Author: Jorge Guerra Pires
Publisher: Jorge Guerra Pires
ISBN: 650048455X
Category : Computers
Languages : en
Pages : 164
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Book Description
In 2013, I wrote a book[1]. At the time, I wanted to explain neural networks in simple terms, I had high school students at my mind. I have expressed my concerns that machine learning was dominating the world, and people had no idea about it, smartphones were not popular in Brazil, and started go gain attention as personal computers. Deep learning started to gain momentum on 2012, and nowadays is kind of the rule. At the time, YouTube was bad, pretty bad a must say: I used to save the links to my videos, as so I could avoid passing through the main page. . Computational thinking is synonymous of algorithms. I cannot think a single computational routine which is not an algorithm; after all, “computers are stupid”, they need to be told what to do even when it is abstract (e.g., machine learning). What is computational think, though? Think like this, a thought experiment: Suppose you give your result, from your model, to someone. Do you believe the person would be able to tell the difference between your solution, from your algorithm, and a human? If not, this is computational thinking. It is a machine (i.e., an algorithm, a routine), doing human-thinking work. As we are going to see based on Kasabov’s work, we may actually be able to send ‘thinking loads’ to computers in the future. Initially, this book supposes to be called computational intelligence. Nonetheless, I thought, we do not necessarily need ‘intelligence’ to build models, not in the sense to artificial intelligence or even human intelligence. Furthermore, as we shall learn from Daniel Kahneman and colleagues, we can achieve nice models for decision making even with simple models, when compared to humans; imagine what we can do with machine learning + cloud computing + databases (such as MongoDB and Firebase)! Possible public Web developers wanting to expand their horizon; here I am being modest, I feel any web coder should learn computational thinking, as so they can add intelligence to their “dummy” apps; People from computational intelligence, waiting to learn new tricks; Computer scientists for sure! I would recommend to computational biologists, and anyone interested in bioinformatics; Applied mathematics, and computational mathematician for sure; Anyone that is opened to new ideas, but has a minimum computer programming background; Maybe, medical doctors and biologists; one of my PhD advisors was a surgeon, with a PhD in mathematics; thus, we may have this profile in medicine and, especially, in biology; External resources and tricks My GitHub profile; Our sandbox; I have used links to my LinkedIn profile, to posts related to the discussions. Feel free to start a conversation on LinkedIn, or to connect! Just comment on the posts, and I will be noticed; I have used several external links, to articles online; this is in addition to the classical/academic reference standard; With Special release of “My selected assays from Medium on Computer programming, Artificial Intelligence” [1] Redes Neurais em termos simples: como aprendemos, pensamos e modelamos. https://www.academia.edu/18365339/Redes_Neurais_em_termos_simples_como_aprendemos_pensamos_e_modelamos?fbclid=IwAR3NLQt003L5QXZQNLSePIxJxUf7NbqsthEjj8rb1zgfpgEgzkiqoNfO0RY. Accessed on 30/06/22.
