Patrick Dixon: 5 books

Book cover of The Future of Almost Everything

The Future of Almost Everything

How our world will change over the next 100 years

by Patrick Dixon
Language: English
Release Date: August 27, 2015

From the man the Wall Street Journal describes as a 'global change guru', more than one hundred of the trends that touch every aspect of our lives. This new and updated edition looks even farther into the future, predicting trends past the first decades of the 22nd century. Patrick Dixon looks at...
Book cover of Futurewise
by Patrick Dixon
Language: English
Release Date: May 26, 2011

The pace of change in the past two decades has been extraordinary and it has become much harder for businesses to anticipate the environment in which they will be operating not far down the line - how markets and marketing will change, how employees and consumers behaviour and attitudes will change....
Book cover of Sustainagility

Sustainagility

How Smart Innovation and Agile Companies will Help Protect our Future

by Patrick Dixon, Johan Gorecki
Language: English
Release Date: May 3, 2010

Sustainagility is about the ability to solve some of the world's most complex sustainability challenges with rapidly evolving business innovations, applications, methods, products and processes, adapted to changing situations. The book looks at how innovation and agility can save the world from the...
Book cover of Under the Desert Sky

Under the Desert Sky

Gay erotic fiction

by Zee Kensington, Michael Bracken, Tabitha Rayne
Language: English
Release Date: January 4, 2011

A collection of six gay erotic stories with mixed themes including alfresco, contemporary, historical (1920s), group sex, sex on holiday and cross-dressing.  Under the Desert Sky by Zee Kensington Tim has followed his negligent boyfriend out to Nevada’s Flaming Fool Festival, hoping...
Book cover of Reinforcement Learning for Optimal Feedback Control
by Rushikesh Kamalapurkar, Patrick Walters, Joel Rosenfeld
Language: English
Release Date: May 10, 2018

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system models...
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