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Diagrammatic Reasoning in AI : Decision-making and Problem-solving With Diagr...

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N.º de artículo de eBay:388264741206
Última actualización el 06 may 2025 00:22:28 H.EspVer todas las actualizacionesVer todas las actualizaciones

Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
Book Title
Diagrammatic Reasoning in AI : Decision-making and Problem-solvin
ISBN
9780470331873

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Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470331879
ISBN-13
9780470331873
eBay Product ID (ePID)
72588558

Product Key Features

Number of Pages
346 Pages
Publication Name
Diagrammatic Reasoning in Ai
Language
English
Publication Year
2009
Subject
Intelligence (Ai) & Semantics, User Interfaces, Image Processing, Decision-Making & Problem Solving
Type
Textbook
Author
Robbie T. Nakatsu
Subject Area
Computers, Education
Format
Hardcover

Dimensions

Item Height
0.9 in
Item Weight
21 Oz
Item Length
9.6 in
Item Width
6.4 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2009-015920
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
006.3
Table Of Content
Preface vii Chapter 1 Introduction: Working Around the Limitations of AI 1 Chapter 2 Mental Models: Diagrams in the Mind's Eye 23 Chapter 3 Types of Diagrams 57 Chapter 4 Logic Reasoning with Diagrams 108 Chapter 5 Rule-Based Expert Systems 143 Chapter 6 Rule-Based Reasoning with Diagrams 188 Chapter 7 Model-Based Reasoning 228 Chapter 8 Inexact Reasoning with Certainty Factors and Bayesian Networks 264 Chapter 9 A Framework for Understanding Diagrammatic Reasoning 302 Index 321
Synopsis
PIONEERING WORK SHOWS HOW USING DIAGRAMS FACILITATES THE DESIGN OF BETTER AI SYSTEMS The publication of Diagrammatic Reasoning in AI marks an important milestone for anyone seeking to design graphical user interfaces to support decision-making and problem-solving tasks. The author expertly demonstrates how diagrammatic representations can simplify our interaction with increasingly complex information technologies and computer-based information systems. In particular, the book emphasizes how diagrammatic user interfaces can help us better understand and visualize artificial intelligence (AI) systems. It examines how diagrammatic reasoning enhances various AI programming strategies used to emulate human thinking and problem-solving, including: Expert systems Model-based reasoning Inexact reasoning such as certainty factors and Bayesian networks Logic reasoning A key part of the book is its extensive development of applications and graphical illustrations, drawing on such fields as the physical sciences, macroeconomics, finance, business logistics management, and medicine. Despite such tremendous diversity of usage, in terms of applications and diagramming notations, the book classifies and organizes diagrams around six major themes: system topology; sequence and flow; hierarchy and classification; association; cause and effect; and logic reasoning. Readers will benefit from the author's discussion of how diagrams can be more than just a static picture or representation and how diagrams can be a central part of an intelligent user interface, meant to be manipulated and modified, and in some cases, utilized to infer solutions to difficult problems. This book is ideal for many different types of readers: practitioners and researchers in AI and human-computer interaction; business and computing professionals; graphic designers and designers of graphical user interfaces; and just about anyone interested in understanding the power of diagrams. By discovering the many different types of diagrams and their applications in AI, all readers will gain a deeper appreciation of diagrammatic reasoning., A diagram can be used to graphically demonstrate cause and effect in intelligent systems, in particular, expert systems. Diagrammatic Reasoning in AI explores the use of diagrams, or graphical representations, that show how something works or makes something easier to understand., Pioneering work shows how using Diagrams facilitates the design of better AI systems The publication of Diagrammatic Reasoning in AI marks an important milestone for anyone seeking to design graphical user interfaces to support decision-making and problem-solving tasks. The author expertly demonstrates how diagrammatic representations can simplify our interaction with increasingly complex information technologies and computer-based information systems. In particular, the book emphasizes how diagrammatic user interfaces can help us better understand and visualize artificial intelligence (AI) systems. It examines how diagrammatic reasoning enhances various AI programming strategies used to emulate human thinking and problem-solving, including: Expert systems Model-based reasoning Inexact reasoning such as certainty factors and Bayesian networks Logic reasoning A key part of the book is its extensive development of applications and graphical illustrations, drawing on such fields as the physical sciences, macroeconomics, finance, business logistics management, and medicine. Despite such tremendous diversity of usage, in terms of applications and diagramming notations, the book classifies and organizes diagrams around six major themes: system topology; sequence and flow; hierarchy and classification; association; cause and effect; and logic reasoning. Readers will benefit from the authors discussion of how diagrams can be more than just a static picture or representation and how diagrams can be a central part of an intelligent user interface, meant to be manipulated and modified, and in some cases, utilized to infer solutions to difficult problems. This book is ideal for many different types of readers: practitioners and researchers in AI and human-computer interaction; business and computing professionals; graphic designers and designers of graphical user interfaces; and just about anyone interested in understanding the power of diagrams. By discovering the many different types of diagrams and their applications in AI, all readers will gain a deeper appreciation of diagrammatic reasoning.
LC Classification Number
Q335.N355 2009

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    Great seller; book exactly as described in mint condition sold at a reasonable price; seller shipped item FAST, FREE and with tracking information, a must nowadays; seller shipped in tight, cardboard mailing envelope, which tightly fit over the book, preventing damage in shipment; good communication too; rate seller 10+++++
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    I purchase the Veterinary Assisting Fundamentals & Applications, Hardcover by Vanhorn, Beth on January 22nd and it took five days which was January 27th to confirm my order, provide a tracking . Once, that happend the textbook sat somewhere 4 more days before it was shipped , it was suppose to arrive Monday, January 3rd, Great seller. Great price, As described, Packed well.
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    Item as described. Poly mailer, no padding. Description clearly states delivery window of several weeks. Yet I chose this seller because item is new. Purchased/paid April 16, shipped April 28, arrived Maryland to SC May 5.This after contacting seller on day 10 to ask why it had not shipped yet. Slow return communication requesting invoice number/transaction date. Just be aware. IMHO eBay has sellers with faster, more efficient delivery service.