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The book is intended to explain how computers reason and perceive, and introduce the field of artificial intelligence. It describes the field, both as a branch of engineering and as a science, providing a computational perspective. Ideas for representing knowledge, using knowledge, and building practical systems are provided.
The book received positive reviews from critics, who singled out its exploration of issues like exploitation of labour and the environment, algorithmic bias, and false claims about AI's ability to recognize human emotion. [1] [2] The book was considered a seminal work by Anais Resseguier of Ethics and AI. [3]
AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...
Artificial Intelligence: A Guide for Thinking Humans is a 2019 nonfiction book by Santa Fe Institute professor Melanie Mitchell. [1] The book provides an overview of artificial intelligence (AI) technology, and argues that people tend to overestimate the abilities of artificial intelligence.
The Age of Intelligent Machines is a non-fiction book about artificial intelligence by inventor and futurist Ray Kurzweil. This was his first book and the Association of American Publishers named it the Most Outstanding Computer Science Book of 1990. [1] It was reviewed in The New York Times and The Christian Science Monitor.
The history of artificial intelligence (AI) began in antiquity, with myths, stories, and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. The study of logic and formal reasoning from antiquity to the present led directly to the invention of the programmable digital computer in the 1940s, a machine ...
English: Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp by Peter Norvig "This is an open-source repository for the book Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp by Peter Norvig (1992), and the code contained therein.
Throughout the book, it is suggested that each different tribe has the potential to contribute to a unifying "master algorithm". Towards the end of the book the author pictures a "master algorithm " in the near future, where machine learning algorithms asymptotically grow to a perfect understanding of how the world and people in it work. [ 1 ]