menu
{ "item_title" : "Artificial Intelligence", "item_author" : [" David L. Poole", "Alan K. Mackworth "], "item_description" : "Fully revised and updated, this third edition includes three new chapters on neural networks and deep learning including generative AI, causality, and the social, ethical and regulatory impacts of artificial intelligence. All parts have been updated with the methods that have been proven to work. The book's novel agent design space provides a coherent framework for learning, reasoning and decision making. Numerous realistic applications and examples facilitate student understanding. Every concept or algorithm is presented in pseudocode and open source AIPython code, enabling students to experiment with and build on the implementations. Five larger case studies are developed throughout the book and connect the design approaches to the applications. Each chapter now has a social impact section, enabling students to understand the impact of the various techniques as they learn them. An invaluable teaching package for undergraduate and graduate AI courses, this comprehensive textbook is accompanied by lecture slides, solutions, and code.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/00/925/819/1009258192_b.jpg", "price_data" : { "retail_price" : "79.00", "online_price" : "79.00", "our_price" : "79.00", "club_price" : "79.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Artificial Intelligence|David L. Poole

Artificial Intelligence

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Fully revised and updated, this third edition includes three new chapters on neural networks and deep learning including generative AI, causality, and the social, ethical and regulatory impacts of artificial intelligence. All parts have been updated with the methods that have been proven to work. The book's novel agent design space provides a coherent framework for learning, reasoning and decision making. Numerous realistic applications and examples facilitate student understanding. Every concept or algorithm is presented in pseudocode and open source AIPython code, enabling students to experiment with and build on the implementations. Five larger case studies are developed throughout the book and connect the design approaches to the applications. Each chapter now has a social impact section, enabling students to understand the impact of the various techniques as they learn them. An invaluable teaching package for undergraduate and graduate AI courses, this comprehensive textbook is accompanied by lecture slides, solutions, and code.

This item is Non-Returnable

Details

  • ISBN-13: 9781009258197
  • ISBN-10: 1009258192
  • Publisher: Cambridge University Press
  • Publish Date: July 2023
  • Dimensions: 10 x 7.09 x 1.73 inches
  • Shipping Weight: 3.9 pounds
  • Page Count: 898

Related Categories

You May Also Like...

    1

BAM Customer Reviews