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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]
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 ...
Nearly 200,000 books written by a wide range of authors, including Nora Roberts, are being used to train artificial intelligence systems, according to a recent report. No one asked for the writers ...
Artificial intelligence engineering (AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.
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 ranked #17 on The New York Times list of best selling science books for August 2014. [7] In the same month, business magnate Elon Musk made headlines by agreeing with the book that artificial intelligence is potentially more dangerous than nuclear weapons.
Paradigms of AI Programming: Case Studies in Common Lisp (ISBN 1-55860-191-0) is a well-known programming book by Peter Norvig about artificial intelligence programming using Common Lisp. History [ edit ]
These agents can interact with users, their environment, or other agents. AI agents are used in various applications, including virtual assistants, chatbots, autonomous vehicles, game-playing systems, and industrial robotics. AI agents operate within the constraints of their programming, available computational resources, and hardware limitations.