How does life prosper in a complex & erratic world? While we know that nature follows patterns
- such as the law of gravity
- our everyday lives are beyond what known science can predict. We nevertheless muddle through even in the absence of theories of how to act. But how do we do it? In Probably Approx. Correct computer scientist Leslie Valiant presents a masterful synthesis of learning & evolution to show how both individually & collectively we not only survive but prosper in a world as complex as our own. The key is probably Approx. correct" algorithms a concept Valiant developed to explain how effective behavior can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all finding a mate does not require a theory of mating. Valiant's theory reveals the shared computational nature of evolution & learning & sheds light on perennial questions such as nature versus nurture & the limits of artificial intelligence."