Evolutionary Learning Programming Is the Kind of Programming That Has Potential

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In the eighties, i wrote a paper on evolution method for machine learning. That was before nernetz got big. But that's a very interesting way that i believe whan i talk in the book about how we won't really get robots that seem like humans until that happens. A rule based a computer doesn't have emotions is not going to be motive. So the motivation comes from emotion. And and so that's when we have the potential for machines to really, you don't seem humani, is when they can feel the emotion.

xtraordinary advances in psychology and neuroscience have proven that emotions are as critical to our well-being as thinking. In this conversation, Shermer and Mlodinow explore the new science of feelings.

Journeying from the labs of pioneering scientists to real-world scenarios that have flirted with disaster, Mlodinow shows us how our emotions can help, why they sometimes hurt, and what we can learn in both instances.

Shermer and Mlodinow discuss: the difference between emotions and feelings/moods/drives/passions; how the scientific understanding of emotions has changed; thought vs. feeling; system 1 vs. system 2 cognition; mind-body connection: how does our physical state influence what we think & feel?; the neuroscience of emotions: how the brain constructs emotions; Lisa Feldman Barrett challenge to Paul Ekman’s theory of universal emotions; Schachter-Singer theory of emotion; the effects of social context on emotions; and more…