The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work. He argues persuasively that emotions, intuitions, and feelings are not distinct things, but different ways of thinking.
By examining these different forms of mind activity, Minsky says, we can explain why our thought sometimes takes the form of carefully reasoned analysis and at other times turns to emotion. He shows how our minds progress from simple, instinctive kinds of thought to more complex forms, such as consciousness or self-awareness. And he argues that because we tend to see our thinking as fragmented, we fail to appreciate what powerful thinkers we really are. Indeed, says Minsky, if thinking can be understood as the step-by-step process that it is, then we can build machines -- artificial intelligences -- that not only can assist with our thinking by thinking as we do but have the potential to be as conscious as we are.
Eloquently written, The Emotion Machine is an intriguing look into a future where more powerful artificial intelligences await.
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I am so something that i can't remember what its called---miles steele, 5 years, about suffering. Read full review
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aaron sloman actions activities allen newell analogies animals answer argue Artificial Intelligence attached B-Brain become behavior block brain carol cause chapter charles Charles’s child commonsense knowledge complex consciousness contexts credit assignments critics Daniel Dennett Deliberative describe descriptions develop Douglas Lenat emotions everyday evolved example experience explain feel goals happens hard higher-level human ideas IfVDo imagine imprimers infant inside Joan Joan’s John Bowlby k-line keep kinds levels machinery machines Marvin Minsky means memory mental micronemes Minsky models objects one’s ourselves pain particular Perhaps person physical pleasure problem processes psychologists Push Singh questions react realms recognize reflective represent representations retrieve Roger Schank seems selectors Self-Reflective Semantic Networks sense seymour Papert simply single situations Society of Mind solve structures student subgoal suggests switch theories there’s things thoughts tion traits usually we’ll words