Melanie Mitchell ist eine Informatikprofessorin, deren Werk sich mit den grundlegenden Mechanismen komplexer Systeme und künstlicher Intelligenz befasst. Sie erforscht zentrale Fragen wie analogisches Schließen und die Natur der Intelligenz, um die Prinzipien aufzudecken, die sowohl lebende Organismen als auch Maschinen steuern. Mitchell setzt hochentwickelte Werkzeuge wie genetische Algorithmen und zelluläre Automaten ein, um diese komplexen Phänomene zu modellieren und zu analysieren. Ihr Ansatz betont die zugrunde liegenden Prozesse des Denkens und Lernens und bietet den Lesern aufschlussreiche Einblicke an die Grenzen des wissenschaftlichen Verständnisses.
„Lasst die Kinder zu mir kommen!“ thematisiert Jesu Liebe zu Kindern und bietet alltagsnahe Texte sowie farbenfrohe Bilder. Die alten und neuen Kindergebete sind perfekt zum Vorlesen, Nachsprechen und gemeinsamen Beten, ideal für den Alltag oder vor dem Zubettgehen.
Willkommen im Streichelzoo bei den Tiermamas und ihren Jungen! Wunderbare Puzzle-Bücher für die ganz Kleinen. Zum Streicheln, Spielen und Vorlesen.
Willkommen im Streichelzoo bei den Tiermamas und ihren Jungen! Wunderbare Puzzle-Bücher für die ganz Kleinen. Zum Streicheln, Spielen und Vorlesen.
'If you think you understand AI and all of the related issues, you don't. By the time you finish this exceptionally lucid and riveting book you will breathe more easily and wisely' - Michael GazzanigaA leading computer scientist brings human sense to the AI bubble.No recent scientific enterprise has been so alluring, terrifying and filled with extravagant promise and frustrating setbacks as artificial intelligence. Writing with clarity and passion, leading AI researcher Melanie Mitchell offers a captivating account of modern-day artificial intelligence.Flavoured with personal stories and a twist of humour, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI even requires such elusive human qualities at all.Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go and what it means for all of our futures.
Explore the intriguing process of maple syrup production, from planting sugar maple trees to the delightful moment of pouring syrup on pancakes. This book takes readers through each step of the food production cycle, making it an engaging and educational experience. Perfect for curious minds, it invites readers to discover how one thing transforms into another in the Start to Finish series.
This touchable book is perfect for bedtime! Feel the soft, fluffy fur of each animal as you say, "good night!"
A simple introduction to earth's single moon.
Beginning readers will enjoy exploring the shared traits of various animals, discovering intriguing connections to human characteristics. The engaging content is complemented by vibrant full-color photographs, making the learning experience visually appealing. Additionally, the book aligns with language arts and science curriculum standards, enhancing its educational value.
A fascinating look at the exciting new sciences of complexity and what they reveal about everything from ant colonies to the World Wide Web, now available in paperback
Genetic algorithms serve as adaptive tools for solving practical problems and as models of natural evolutionary systems. This accessible introduction explores intriguing research in the field while guiding readers to implement and experiment with genetic algorithms themselves. It delves into key topics, especially in machine learning, scientific modeling, and artificial life, and reviews a wide range of research, including the contributions of Mitchell and her colleagues. Applications extend beyond computer science to encompass dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, highlighting the versatile nature of genetic algorithms as search methods applicable across various disciplines. The text is suitable for students and researchers in any scientific field, featuring numerous thought and computer exercises that reinforce understanding. The first chapter introduces genetic algorithms and their terminology, detailing two provocative applications. The subsequent chapters examine their use in machine learning (including data analysis and neural networks) and scientific models (covering learning, evolution, culture, and ecosystems). The fourth chapter discusses theoretical approaches, the fifth focuses on implementation, and the final chapter addresses unanswered questions and future prospects in evolutionary computation.
