Will governments and corporations expand current tracking policies? Or will innovators create new ways for individuals to control personal information? Experts are divided on whether a secure and balanced privacy-rights infrastructure will be in place by 2025.
Quite a spectrum of viewpoints...worth checking out the "Elaborations" under the Table of Contents on the right side.
Editor’s NoteThis post is part of Co.Exist’s Futurist Forum, a series of articles by some of the world’s leading futurists about what the world will look like in the near and distant future, and how you can improve how you navigate future scenarios...
Interesting slant on how tech interfaces and develops with actual usage.
Contemporary complexity theory has been instrumental in providing novel rigorous definitions for some classic philosophical concepts, including emergence. In an attempt to provide an account of emergence that is consistent with complexity and dynamical systems theory, several authors have turned to the notion of constraints on state transitions. Drawing on complexity theory directly, this paper builds on those accounts, further developing the constraint-based interpretation of emergence and arguing that such accounts recover many of the features of more traditional accounts. We show that the constraint-based account of emergence also leads naturally into a meaningful definition of self-organization, another concept that has received increasing attention recently. Along the way, we distinguish between order and organization, two concepts which are frequently conflated. Finally, we consider possibilities for future research in the philosophy of complex systems, as well as applications of the distinctions made in this paper.
Self-Organization, Emergence, and Constraint in Complex Natural Systems Jonathan Lawhead
See on Scoop.it – Technology in the Classroom , 1:1 Laptops & iPads and MORE Our learners live in a connected world where technology impacts their lives daily. Our students often dedicate many hours to communicating, sharing, and learning online.
Digital data stem from our own personal and social cognitive processes and thus express them in one way or another. But we still don’t have any scientific tools to make sense of the data flows produced by online creative conversations at the scale of the digital medium as a whole.
The concepts of evolution and complexity theory have become part of the intellectual ether permeating the life sciences, the social and behavioral sciences, and, more recently, management science and economics. In this book, John E. Mayfield elegantly synthesizes core concepts from multiple disciplines to offer a new approach to understanding how evolution works and how complex organisms, structures, organizations, and social orders can and do arise based on information theory and computational science.
Intended for the intellectually adventuresome, this book challenges and rewards readers with a nuanced understanding of evolution and complexity that offers consistent, durable, and coherent explanations for major aspects of our life experiences. Numerous examples throughout the book illustrate evolution and complexity formation in action and highlight the core function of computation lying at the work's heart.
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