Knowledge-Based Systems, by Rajendra Akerkar, Priti Sajja


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Knowledge-Based Systems, by Rajendra Akerkar, Priti Sajja

Knowledge-Based Systems, by Rajendra Akerkar, Priti Sajja

Knowledge-Based Systems, by Rajendra Akerkar, Priti Sajja

Free Ebook Knowledge-Based Systems, by Rajendra Akerkar, Priti Sajja

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Knowledge-Based Systems, by Rajendra Akerkar, Priti Sajja

A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.

  • Sales Rank: #101978 in Books
  • Published on: 2009-09-08
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25″ h x .77″ w x 7.52″ l, 1.40 pounds
  • Binding: Paperback
  • 354 pages

Most helpful customer reviews

4 of 4 people found the following review helpful.
For those who want to design a system like Siri
By Sunghyun Kim
This book has features found in “general introduction”,
positive part of which is that it contains a text-book structure
where you can learn elements suggested in mainstream solutions
to building an autonomous agent or intelligent system, and
negative one; a light-weight version of Artificial Intelligence : A Modern Approach.

I do not regret buying this book because the last two sections of the book
includes some architectural guidelines essential to developing an intelligent agent system.

If you aim at learning deeper level of pattern recognition or machine learning,
you’d better consider other books like “Pattern Recognition” by Sergios Theodoridis
or “Pattern Recognition and Machine Learning” by Bishop.

If you want to learn some rule-based inference engine, you also need to read books on
JBoss Rules or Jess in Action.

If your intention includes designing a dialogue agent or a Q&A system,
you’d better consider purchasing one.

This book covers the past and the present mainstream methodologies, which include
rule-based inference, semantic network, ontology & knowledge engineering, soft computing and
learning(model optimization like genetic algorithm).

Last point, key terms are well defined throughout the book.

See all 1 customer reviews…

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