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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. [2] [3]
Our policy states that free images are always preferable to non-free images. [2] Including an image of the first edition is much more encyclopedic; it provides real information about the book, rather than about a modern publisher. It educates our users and the public about the history of these books and about the value of freely licensed material.
The Sciences of the Artificial (1969) [1] is a book by Herbert A. Simon in the domain of the learning sciences and artificial intelligence; it is especially influential in design theory. [2] The book is themed around how artificial phenomena ought to be categorized, discussing as to whether such phenomena belong within the domain of 'science'. [3]
The Alignment Problem: Machine Learning and Human Values is a 2020 non-fiction book by the American writer Brian Christian.It is based on numerous interviews with experts trying to build artificial intelligence systems, particularly machine learning systems, that are aligned with human values.
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