Luciana Parisi: Contagious Architecture: Computation, Aesthetics, and Space (2013)

“In Contagious Architecture, Luciana Parisi offers a philosophical inquiry into the status of the algorithm in architectural and interaction design. Her thesis is that algorithmic computation is not simply an abstract mathematical tool but constitutes a mode of thought in its own right, in that its operation extends into forms of abstraction that lie beyond direct human cognition and control. These include modes of infinity, contingency, and indeterminacy, as well as incomputable quantities underlying the iterative process of algorithmic processing.

The main philosophical source for the project is Alfred North Whitehead, whose process philosophy is specifically designed to provide a vocabulary for “modes of thought” exhibiting various degrees of autonomy from human agency even as they are mobilized by it. Because algorithmic processing lies at the heart of the design practices now reshaping our world—from the physical spaces of our built environment to the networked spaces of digital culture—the nature of algorithmic thought is a topic of pressing importance that reraises questions of control and, ultimately, power. Contagious Architecture revisits cybernetic theories of control and information theory’s notion of the incomputable in light of this rethinking of the role of algorithmic thought. Informed by recent debates in political and cultural theory around the changing landscape of power, it links the nature of abstraction to a new theory of power adequate to the complexities of the digital world.”

Publisher MIT Press, 2013
Technologies of Lived Abstraction series
ISBN 0262018632, 9780262018630
392 pages

For a New Computational Aesthetics: Algorithmic Environments as Actual Objects lecture by Parisi (2012, video, 72 min).

Reviews: Lecomte (Mute, 2013), Ikoniadou (Computational Culture, 2014).

Publisher
WorldCat

PDF (24 MB, updated o 2021-10-28)

Ben Fry: Visualizing Data (2008)

How you can take advantage of data that you might otherwise never use? With the help of the free software programming environment called Processing, this book helps you represent data accurately on the Web and elsewhere, complete with user interaction, animation, and more. You’ll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features to design entire interfaces around large, complex data sets.

Enormous quantities of data go unused or underused today, simply because people can’t visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more.

How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We’re not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called “Processing”.

Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you’ll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you:

* The seven stages of visualizing data — acquire, parse, filter, mine, represent, refine, and interact
* How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details
* Several example projects with the code to make them work
* Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set

The book does not provide ready-made “visualizations” that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you’ll learn how each visualization conveys the unique properties of the data it represents — why the data was collected, what’s interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.

Publisher O’Reilly Media, Inc., 2008
ISBN 0596514557, 9780596514556
Length 366 pages

publisher
google books

PDF

Ira Greenberg: Processing: Creative Coding and Computational Art (2007)

“This book is written especially for artists, designers, and other creative professionals and students exploring code art, graphics programming, and computational aesthetics. The book provides a solid and comprehensive foundation in programming, including object-oriented principles, and introduces you to the easy-to-grasp Processing language, so no previous coding experience is necessary. The book then goes through using Processing to code lines, curves, shapes, and motion, continuing to the point where you’ll have mastered Processing and can really start to unleash your creativity with realistic physics, interactivity, and 3D! In the final chapter, you’ll even learn how to extend your Processing skills by working directly with the powerful Java programming language, the language Processing itself is built with.”

Foreword by Keith Peters
Publisher Springer, 2007
ISBN 159059617X, 9781590596173
810 pages

Publisher

PDF (updated on 2020-1-20)