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“This book is a must read for all with an interest in the future of design.” —Jim Spohrer, PhD, Retired Industry executive, International Society of Service Innovation Professionals “The world is in need of better design, and Kozma’s book shows us how to get there.” —Mark Guzdial, Director, Program in Computing for the Arts and Sciences, College of Literature, Science, and the Arts, Professor of Electrical Engineering and Computer Science, College of Engineering, University of Michigan Design services, products, experiences, and places that transform the world for the better Make the World a Better Place: Design with Passion, Purpose, and Values presents an insightful and hands-on discussion of design as a profoundly human activity and challenges us all to use design to transform the world for the better. The book explains how and why the design industry lost its way, and how to re-ignite the idealism that once made it a force for good. Make the World a Better Place describes a set of moral principles, based on our shared humanity, that can be used to create “good” designs: designs that reduce harm, increase well-being, advance knowledge, promote equality, address injustice, and build supportive, compassionate relationships and communities. Dr. Kozma applies philosophy, psychology, sociology, and history to the world of design, including: Examples and case studies of designs—both good and bad Seven principles of good design, based on the impact designs have on people An approach to design as a “moral dialog among co-creators,” in which the seven principles can be applied to intentionally improve the world Comprehensive explorations of a person-resource-activity model that explains how technology shapes designs Detailed analyses of the strengths and pitfalls of five design traditions, which include the scientific, technical-analytic, human-centered, aesthetic, and social movement traditions

This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains. The microscopic dynamics of neural networks is well described by the prevailing paradigm based in a narrow interpretation of the neuron doctrine. This book broadens the doctrine by incorporating the dynamics of neural fields, as first revealed by modeling with differential equations (K-sets). The book broadens that approach by application of random graph theory (neuropercolation). The book concludes with diverse commentaries that exemplify the wide range of mathematical/conceptual approaches to neural fields. This book is intended for researchers, postdocs, and graduate students, who see the limitations of network theory and seek a beachhead from which to embark on mesoscopic and macroscopic neurodynamics.

This authoritative volume is the first to provide a thorough, detailed account of the virtual high school. Based on a 5-year study conducted by experienced researchers at SRI International, it provides crucial information to assist educators and policymakers in creating, adapting, and learning how to effectively use these new online schools. This book answers such questions as: What is the difference between an online and face-to-face classroom? What is it like to take, or to teach a course online? Are online courses effective? What are the problems with its use?

Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future applications for memristive devices. The possibility of gathering prominent scientists in the heart of the Silicon Valley given by the 2011 International Joint Conference on Neural Networks held in San Jose, CA, has offered us the unique opportunity of organizing a series of special events on the present status and future perspectives in neuromorphic memristor science. This book presents a selection of the remarkable contributions given by the leaders of the field and it may serve as inspiration and future reference to all researchers that want to explore the extraordinary possibilities given by this revolutionary concept.

With the advent of digital computers more than half a century ago, - searchers working in a wide range of scienti?c disciplines have obtained an extremely powerful tool to pursue deep understanding of natural processes in physical, chemical, and biological systems. Computers pose a great ch- lenge to mathematical sciences, as the range of phenomena available for rigorous mathematical analysis has been enormously expanded, demanding the development of a new generation of mathematical tools. There is an explosive growth of new mathematical disciplines to satisfy this demand, in particular related to discrete mathematics. However, it can be argued that at large mathematics is yet to provide the essential breakthrough to meet the challenge. The required paradigm shift in our view should be compa- ble to the shift in scienti?c thinking provided by the Newtonian revolution over 300 years ago. Studies of large-scale random graphs and networks are critical for the progress, using methods of discrete mathematics, probabil- tic combinatorics, graph theory, and statistical physics. Recent advances in large scale random network studies are described in this handbook, which provides a signi?cant update and extension - yond the materials presented in the “Handbook of Graphs and Networks” published in 2003 by Wiley. The present volume puts special emphasis on large-scale networks and random processes, which deemed as crucial for - tureprogressinthe?eld. Theissuesrelatedtorandomgraphsandnetworks pose very di?cult mathematical questions.

Experimental evidence in humans and other mammalians indicates that complex neurodynamics is crucial for the emergence of higher-level intelligence. Dynamical neural systems with encoding in limit cycle and non-convergent attractors have gained increasing popularity in the past decade. The role of synchronization, desynchronization, and intermittent synchronization on cognition has been studied extensively by various authors, in particular by authors contributing to the present volume. This book addresses dynamical aspects of brain functions and cognition.