Facebook Twitter Pinterest <Embed>
FREE Delivery in the UK.
Only 2 left in stock (more on the way).
Dispatched from and sold by Amazon. Gift-wrap available.
Probably Approximately Co... has been added to your Basket
+ £0.00 delivery
Used: Like New | Details
Condition: Used: Like New
Comment: An apparently unread copy in perfect condition. Dust cover is intact; pages are clean and are not marred by notes or folds of any kind. At ThriftBooks, our motto is: Read More, Spend Less.
Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See all 3 images

Follow the Author

Something went wrong. Please try your request again later.


Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World Hardcover – 4 Jun 2013

3.9 out of 5 stars 5 customer reviews

See all 6 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle Edition
Hardcover
£20.99
£13.93 £9.17
Note: This item is eligible for click and collect. Details
Pick up your parcel at a time and place that suits you.
  • Choose from over 13,000 locations across the UK
  • Prime members get unlimited deliveries at no additional cost
How to order to an Amazon Pickup Location?
  1. Find your preferred location and add it to your address book
  2. Dispatch to this address when you check out
Learn more

Great Discounts
Shop the Books Outlet. Discover some great deals on top titles. Shop now
click to open popover

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone

To get the free app, enter your mobile phone number.

kcpAppSendButton


Only on Amazon: One product for every need Only on Amazon: New Releases


Product details

  • Hardcover: 208 pages
  • Publisher: Basic Books (4 Jun. 2013)
  • Language: English
  • ISBN-10: 0465032710
  • ISBN-13: 978-0465032716
  • Product Dimensions: 16.5 x 2.2 x 24.1 cm
  • Average Customer Review: 3.9 out of 5 stars 5 customer reviews
  • Amazon Bestsellers Rank: 1,125,298 in Books (See Top 100 in Books)
  • Would you like to tell us about a lower price?
    If you are a seller for this product, would you like to suggest updates through seller support?

Product description

Review

"This remarkable book is carefully constructed to give the lay person a sense of subtle problems in mathematics and artificial intelligence, and offers a framework for biologists and computer scientists to use in jointly investigating the most fascinating and enigmatic biological questions."--Marc Kirschner, Chair, Department of Systems Biology, Harvard Medical School, and coauthor of "The Plausibility of Life: Resolving Darwin's Dilemma"
"This book contains a lot of fresh thinking and elegant, nuanced ideas. It is more than probably approximately brilliant. I am amazed by how much insight has been packed into relatively few pages. Anyone interested in computation, learning, evolution, or human nature should find these pages extraordinarily stimulating and informative."--Stephen M. Kosslyn, Founding Dean, Minerva University, and former director, Center for Advanced Study in the Behavioral Sciences, Stanford University
"Ecorithms are algorithms that learn from interaction with their environment. This book provides a theoretical framework for understanding the power and limits of ecorithms and applies it to human cognition, biological evolution and artificial intelligence. It is elegantly written and will be accessible to a wide circle of readers."--Richard Karp, Turing Award winner and director, Simons Institute for the Theory of Computing, University of California, Berkeley
"This little book is hugely ambitious. It takes on the task of creating a quantitative, mathematical theory to explain all essential mechanisms governing the behavior of all living organisms: survival, learning, adaptation, evolution, cognition and intelligence. The suggested theory has all the characteristics of a great one. It is simple, general, and falsifiable, and moreover seems probably, approximately, correct!" --Avi Wigderson, Nevanlinna Prize winner and Professor of Mathematics, Institute for Advanced Study, Princeton
"The quest for machines (and codes) that ne

Book Description

A leading computer scientist shows why understanding computation is the key to understanding life

See all Product description

5 customer reviews

3.9 out of 5 stars

Review this product

Share your thoughts with other customers

Showing 1-5 of 5 reviews

24 February 2017
Format: PaperbackVerified Purchase
One person found this helpful
Comment Report abuse
15 December 2018
Format: Kindle EditionVerified Purchase
18 October 2015
Format: PaperbackVerified Purchase
2 people found this helpful
Comment Report abuse
3 November 2013
Format: HardcoverVerified Purchase
3 people found this helpful
Comment Report abuse

Would you like to see more reviews about this item?