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Cover of Paradigms of Artificial Intelligence Programming

Paradigms of Artificial Intelligence Programming

Written by Peter Norvig

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975 pages, about 20 hours of reading

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About this book

Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.

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Reading guide

Themes, characters and key ideas in Paradigms of Artificial Intelligence Programming, written by Chaptra AI.

  • about 200 hours
  • advanced
  • instructive
  • challenging
  • foundational

Paradigms of Artificial Intelligence Programming by Peter Norvig is a seminal textbook that meticulously explores classical artificial intelligence techniques through the practical implementation in Common Lisp. It provides a comprehensive, hands-on journey into core AI concepts such as search algorithms, knowledge representation, expert systems, and natural language processing. The book is lauded for its clarity, depth, and the elegant integration of theoretical principles with fully executable Lisp code, making complex AI paradigms accessible. It serves as an indispensable resource for students and practitioners seeking a foundational understanding of AI and mastery of symbolic programming.

“The goal of AI is to make computers do things that currently require human intelligence.”

Key themes

Symbolic AI and Knowledge Representation
This theme explores how knowledge about the world can be formally represented using symbols, rules, and structured data (like semantic networks, frames, or logical predicates), and how computers can reason with this knowledge. It is central to the classical AI paradigm championed by the book, focusing on explicit knowledge and logical inference.
Lisp as a Tool for AI Development
This overarching theme underscores Lisp's unique strengths—its symbolic nature, powerful macro system, interactive development environment, and homoiconicity (code as data)—as an ideal and expressive language for exploring and implementing AI concepts. The book itself serves as a profound testament to this paradigm, showcasing Lisp's unparalleled flexibility.
Heuristic Search and Problem Solving
A foundational paradigm in AI, this theme focuses on algorithms that systematically explore a state space to find solutions, often employing heuristics to guide the search efficiently and intelligently. The book meticulously details various uninformed and informed search strategies for diverse problem types.

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How does learning AI through Lisp influence one's approach to problem-solving and system design compared to other languages like Python or Java?

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