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    Artificial Intelligence with Uncertainty

    Artificial Intelligence with Uncertainty by Li, Deyi; Du, Yi;

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      • Publisher's listprice GBP 145.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        73 384 Ft (69 890 Ft + 5% VAT)
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      • Discounted price 66 046 Ft (62 901 Ft + 5% VAT)

    73 384 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 2, New edition
    • Publisher CRC Press
    • Date of Publication 8 May 2017

    • ISBN 9781498776264
    • Binding Hardback
    • No. of pages310 pages
    • Size 234x156 mm
    • Weight 740 g
    • Language English
    • Illustrations 151 Illustrations, black & white; 64 Halftones, black & white; 87 Line drawings, black & white; 29 Tables, black & white
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    Short description:

    This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language ? the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.

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    Long description:

    This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.

    More

    Table of Contents:

    Chapter 1: Aritificial Intelligence Challenged by Uncertainty


    Chapter 2: Cloud Model: a Cognitive Model for Qualitative and Quantitative Transformation


    Chapter 3: Gaussian Cloud Tranformation


    Chapter 4: Data Field and Topological Potential


    Chapter 5: Reasoning and Control of Qualitative Knowledge


    Chapter 6: Cognitive Physics for Swarm Intelligence


    Chapter 7: Great Development of Artificial Intelligence with Uncertainty Due to Cloud Computing

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