- Hardcover: 174 pages
- Publisher: Kogan Page Ltd (30 Jun 1986)
- Language English
- ISBN-10: 185091091X
- ISBN-13: 978-1850910916
- Product Dimensions: 21.8 x 13.5 x 2 cm
- Amazon Bestsellers Rank: 5,187,437 in Books (See Top 100 in Books)
- See Complete Table of Contents
Did you know you can trade in your old books for an Amazon.co.uk Gift Card to spend on the things you want? Visit the Amazon.co.uk Trade-In Store for more details. |
Product details |
More About the Author
Product Description
Product Description
The second edition of this text has been revised and expanded to take account of developments in the field. In particular, greater emphasis has been placed on prototyping, on user involvement and on the need for rigorous testing and quality control techniques. The chapter on human issues has also been extended to take account of recent research. This book should be of interest to designers and developers of expert systems, and students.
--This text refers to an out of print or unavailable edition of this title.
Tag this product(What's this?)Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organise and find favourite items. |
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
Customer Reviews
|
There are no customer reviews yet on Amazon U.K.
|
||||||||||||||||||||
|
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
5.0 out of 5 stars (1 customer review)
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Knowledge Acquisition for Expert Systems by Hart, 14 Jan 2004
By Joseph S. Maresca "Dr. Joseph S. Maresca CPA,... - Published on Amazon.com
This review is from: Knowledge Acquisition for Expert Systems (Artificial Intelligence) (Hardcover)
The author describes some of the classic problems involvedin formulating a knowledge base. For instance, the choice of
a domain is difficult where the problem is too complex or
experts disagree. In addition, acceptance is difficult to
obtain universally across many organizations. Uncertainty
is always a factor in formulating an expert system. Updating the
knowledge base is another issue because the current applicability
of facts and data will always be a critical concern. Every
expert system has some limitations. These need to be set forth.
The development and refinement of algorithms involves the
constant induction and perfection of rules and rule structures.
In a structured approach to induction, it is critical to identify
problems and attributes while optimizing the rule structures.
Listmania!
Look for similar items by category
Feedback
- Would you like to update product info or give feedback on images?
- I am the Author, and I want to comment on my book.
- I am the Publisher, and I want to comment on this book.
