John Mordechai Gottman 
Principia Amoris [EPUB ebook] 
The New Science of Love

Wsparcie

Stereotypically, science and emotion are diametric opposites: one is cold and unfeeling, the other soft and nebulous; one is based on proven facts while the other is based on inexplicable feelings and "never the twain shall meet, " until now.John Gottman delves into the unquantifiable realm of love, armed with science and logic, and emerges with the knowledge that relationships can be not only understood, but also predicted as well. Based on research done at his Love Lab and other laboratories, Gottman has discovered that the future of love relationships can be predicted with a startling 91% success rate. These predictions can help couples to prevent disasters in their relationships, recognize the signs of a promising relationship, and perhaps more importantly, recognize the signs of a doomed one.Principia Amoris also introduces Love Equations, a mathematical modeling of relationships that helps understand predictions. Love Equations are powerful tools that can prevent relationship distress and heal ailing relationships. Readers learn about the various research and studies that were done to discover the science behind love, and are treated to a history of the people, ideas, and events that shaped our current understanding. They also learn about:* The "Four Horsemen of the Apocalypse"* 45 natural principles of love* 5 couple types* 5 recipes for good relationships* And much more!Just as science helped us to understand the physical world, it is helping us to understand the emotional world as well. Using the insights in this book, mental health professionals can meaningfully help their distressed clients, as well as better understand why a relationship is failing or succeeding. Appropriate for the curious non-mental health professional as well, Principia Amoris is a must-have on any bookshelf!

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Język Angielski ● Format EPUB ● Strony 326 ● ISBN 9781136175657 ● Wydawca Taylor and Francis ● Opublikowany 2014 ● Do pobrania 3 czasy ● Waluta EUR ● ID 3411231 ● Ochrona przed kopiowaniem Adobe DRM
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