Robert Kozma

“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

Design with Passion, Purpose, and Values

Make the World a Better Place

Bela Bollobas

Dezso Miklos

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.

Handbook of Large-Scale Random Networks

Walter J. Freeman

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.

Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields

Cesare Alippi

Francesco Carlo Morabito

Yoonsuck Choe

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN) Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks

Robert Kozma

Books

Your next favorite book is out there