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Machine Learning for Cyber Physical Systems
This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.
The Acceleration of Cultural Change
How culture evolves through algorithms rather than knowledge inherited from ancestors. From our hunter-gatherer days, we humans evolved to be excellent throwers, chewers, and long-distance runners. We are highly social, crave Paleolithic snacks, and display some gendered difference resulting from mate selection. But we now find ourselves binge-viewing, texting while driving, and playing Minecraft. Only the collective acceleration of cultural and technological evolution explains this development. The evolutionary psychology of individuals—the drive for “food and sex”—explains some of our current habits, but our evolutionary success, Alex Bentley and Mike O'Brien explain, lies in our a...
The Dynamics of Complex Urban Systems
This book contains the contributions presented at the international workshop "The Dynamics of Complex Urban Systems: an interdisciplinary approach" held in Ascona, Switzerland in November 2004. Experts from several disciplines outline a conceptual framework for modeling and forecasting the dynamics of both growth-limited cities and megacities. Coverage reflects the various interdependencies between structural and social development.
Designing to Avoid Disaster
Author Thomas Fisher introduces the idea of fracture-critical design and provides many solutions for how we can design to avoid major disasters.
The Code Economy
Code is the "how" of human productive activity. The creation, implementation, and refinement of code have been the infrastructure of human progress from Neolithic simplicity to modern complexity. In a sweeping narrative that takes readers from the production of Stone Age axes, to the invention of chocolate chip cookies, to the experience of Burning Man, Philip Auerswald argues that the key driver of human history is the advance of code. At each major stage in the advance of code over the span of centuries, shifts in the structure of society have challenged we human beings to reinvent not only how we work, but who we are. We are at one of those stages now. The Code Economy offers an indispensible guide to the future, based on a narrative stretching forty-thousand years into the past.
The Connected City
The Connected City explores how thinking about networks helps make sense of modern cities: what they are, how they work, and where they are headed. Cities and urban life can be examined as networks, and these urban networks can be examined at many different levels. The book focuses on three levels of urban networks: micro, meso, and macro. These levels build upon one another, and require distinctive analytical approaches that make it possible to consider different types of questions. At one extreme, micro-urban networks focus on the networks that exist within cities, like the social relationships among neighbors that generate a sense of community and belonging. At the opposite extreme, macro...
The Localization Reader
Readings that point the way to a peaceful, democratic, and ecologically resilient transition to an era of localization, limits, and societal opportunities. Energy supplies are tightening. Persistent pollutants are accumulating. Food security is declining. There is no going back to the days of reckless consumption, but there is a possibility—already being realized in communities across North America and around the world—of localizing, of living well as we learn to live well within immutable constraints. This book maps the transition to a more localized world. Society is shifting from the centrifugal forces of globalization (cheap and abundant raw materials and energy, intensive commercial...
Why Did Ancient Civilizations Fail?
Ideas abound as to why certain complex societies collapsed in the past, including environmental change, subsistence failure, fluctuating social structure and lack of adaptability. Why Did Ancient Civilizations Fail? evaluates the current theories in this important topic and discusses why they offer only partial explanations of the failure of past civilizations. This engaging book offers a new theory of collapse, that of social hubris. Through an examination of Mesopotamian, Egyptian, Roman, Maya, Inca, and Aztec societies, Johnson persuasively argues that hubris blinded many ancient peoples to evidence that would have allowed them to adapt, and he further considers how this has implications for contemporary societies. Comprehensive and well-written, this volume serves as an ideal text for undergraduate courses on ancient complex societies, as well as appealing to the scholar interested in societal collapse.
Cities, Change, and Conflict
Cities, Change, and Conflict was one of the first texts to embrace the perspective of political economy as its main explanatory framework, and then complement it with the rich contributions of human ecology as well as perspectives derived from critical approaches to social theory. Although its primary focus is on North American cities, the book contains several chapters on cities in other parts of the world, including the Global North and Global South. It provides both historical and contemporary accounts of the impact of globalization on urban development and urban institutions. This sixth edition features a new, groundbreaking chapter on the relationship between the physical environment an...
Ancient Mesoamerican Population History
"This book critically re-examines Mesoamerican archaeological approaches to estimating populations associated with ancient cities, settlement systems, and regions. Archaeological data and lidar are both employed to demonstrate how complex ancient Mesoamerican societies were and how they changed over time"--
