Melanie Mitchell

Quanto sono intelligenti i piú avanzati programmi di intelligenza artificiale? Possiamo fidarci di loro nelle decisioni che toccano le nostre vite? E in che misura dovremmo cominciare a preoccuparci rispetto a quando potrebbero superarci? Nessuna impresa scientifica recente è stata così entusiasmante, terrorizzante, piena di promesse stravaganti e di frustranti battute d'arresto quanto l'intelligenza artificiale. Con chiarezza e passione, Melanie Mitchell, un'importante scienziata informatica, ci offre un avvincente resoconto dell'intelligenza artificiale contemporanea. Arricchito di storie personali e un tocco di umorismo, il volume illustra il funzionamento di macchine che imitano l'apprendimento, la percezione, il linguaggio e persino la creatività e il buon senso umani..

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own.

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics – particularly in machine learning, scientific modeling, and artificial life – and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics.