Künstliche Intelligenz

Artificial Intelligence: A Modern Approach is the world's most popular AI textbook, used at more than 1,500 universities in 135 countries to teach the fundamentals of AI; it is also one of the most cited computer science books. It is exciting to read, not only for students and teachers of AI, but for anyone who wants to learn about computer science and AI in particular. The authors understand how to present artificial intelligence in all its diversity in a comprehensible and easy-to-understand way. The introductory chapters offer readers from outside the field a well-founded introduction to the history and the mathematical, philosophical and technical foundations of AI. Even someone with little mathematical expertise will enjoy the chapters on logic and probability theory, not least thanks to the well-illustrated examples - consistently derived from the basic idea of the intelligent agent that perceives its environment and reacts to it. In this way, the relevance of these topics for AI is intuitively brought home to the reader. These examples are taken up again and again and developed further in the following chapters on perception, algorithmic learning and action up to technical computer science and robotics. This makes the book ideal for students and teachers of AI.In recent years, AI has developed rapidly and undergone many changes, which have been incorporated into this new edition. Due to the increasing availability of data, there is now more focus on machine learning, computational resources and new algorithms. The topics of deep learning, probabilistic programming and multi-agent systems are each covered in a separate chapter. The content on natural language understanding, robotics and computer vision has been revised to include the influence of Deep Learning. The robotics section now includes.