The Internet has rapidly become an important element of the economic system. The lack of accepted metrics for economic analysis of Internet transactions is therefore increasingly problematic. This book, one of the first to bring together research on Internet engineering and economics, attempts to establish such metrics. The chapters, which developed out of a 1995 workshop held at MIT, include a…
Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with th…
"The emergence of open networked models made possible by digital technology has the potential to transform international development. Open network structures allow people to come together to share information, organize, and collaborate. Open development harnesses this power, to create new organizational forms and improve people's lives; it is not only an agenda for research and practice but als…
"Our encounters with websites, avatars, videos, mobile apps, discussion forums, GIFs, and nonhuman intelligent agents allow us to experience sensations of connectivity, interest, desire, and attachment -- as well as detachment, boredom, fear, and shame. Some affective online encounters may arouse complex, contradictory feelings that resist dualistic distinctions. In this book, leading scholars …
"Emergence--the formation of global patterns from solely local interactions--is a frequent and fascinating theme in the scientific literature both popular and academic. In this book, Keith Downing undertakes a systematic investigation of the widespread (if often vague) claim that intelligence is an emergent phenomenon. Downing focuses on neural networks, both natural and artificial, and how the…
An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only cur…
This title provides an account of how young people in Ghana's capital city adopt and adapt digital technology in the margins of the global economy. The book captures the flexibility of technology by users in the margins but also highlights how their invisibility puts limits on their full inclusion into a global network society.OCLC-licensed vendor bibliographic record.
The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these thingswork? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning t…
This book investigates regulatory and social pressures that social media companies face in the aftermath of high profile cyberbullying incidents. The author's research evaluates the policies companies develop to protect themselves and users. This includes interviews with NGO and social media company reps in the US and the EU. She triangulates these findings against news, policy reports, evaluat…
Why we should not accept ""networked individualism"" as the inevitable future of community.OCLC-licensed vendor bibliographic record.