Can computers think? Can they use reason to develop their own concepts, solve complex problems, understand our languages? This updated edition of a comprehensive survey includes extensive new text on "Artificial Intelligence in the 21st Century," introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, and research toward human-level AI. Ideal for both lay readers and students of computer science, the original text features abundant illustrations, diagrams, and photographs as well as challenging exercises. Lucid, easy-to-read discussions examine problem-solving methods and representations, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis, predicate-calculus theorem proving, automatic programming, and many other topics.
Introduction to Artificial Intelligence
... Soffe ALEXANDER THE GREAT Hugh Bowden ALGEBRA Peter M. Higgins AMERICAN HISTORY Paul S. Boyer AMERICAN IMMIGRATION David A. Gerber AMERICAN LEGAL HISTORY G. Edward White AMERICAN POLITICAL HISTORY Donald Critchlow AMERICAN POLITICAL ...
An Introduction to Artificial Intelligence: Can Computers Think?
Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer ...
This book stands as a core text for all computer scientists approaching AI for the first time.
Comprehensive survey of artificial intelligence — the study of how computers can be made to act intelligently. Includes introductory and advanced material. Extensive notes updating the main text. 132 illustrations.
Yet exactly should we go about building a truly intelligent machine? Introducing Artificial Intelligence focuses on the major issues behind one of the hardest scientific problems ever undertaken.
AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination.
Listing Name Department Salary William Brown Accounts 21,750 Margery Chen Accounts 27,000 Thomas Herbert Accounts 14,500 Janet Davies Accounts 16,000 Eugene Warbuck - Smyth Accounts 17,500 Fredrick Blogia Cleaning 7,500 Mary O'Hara ...
Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects.