Nice interview from Salon with scientist Shimon Edelman about how scientists are discovering neural patterns to the behaviors and activities that make humans happy; turns out the act of learning is often more rewarding than what we learn:
Shimon Edelman, a cognitive expert and professor of psychology at Cornell University, offers some insight in “The Happiness of Pursuit: What Neuroscience Can Teach Us About the Good Life.” In his new book, Edelman walks the reader through the brain’s basic computational skills – its ability to compute information, perform statistical analysis and weigh value judgments in daily life – as a way to explain our relationship with happiness. Our capacity to retain memories and develop foresight allows us to plan for the future, says Edelman, by using a mental “personal space-time machine” that jumps between past, present and future. It’s through this process of motivation, perception, thinking, followed by motor movement, that we’re able not only to survive, but to feel happy. From Bayes’ theorem of probability to Shakespeare’s “Romeo and Juliet,” Edelman offers a range of references and allegories to explain why a changing, growing self, constantly shaped by new experiences, is happier than the satisfaction any end goal can give us. It turns out the rewards we get for learning and understanding the workings of the world really make it the journey, not the destination, that matters most.