Nakatsu, Robbie,  1964- <br/><br/>
Diagrammatic reasoning in AI / 
 Diagrammatic reasoning in artificial intelligence 
Robbie Nakatsu. 
 - 1 online resource (xiv, 330 pages) :  illustrations 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>DIAGRAMMATIC REASONING IN AI; DIAGRAMMATIC REASONING IN AI; CONTENTS; CONTENTS; PREFACE; PREFACE; CHAPTER 1 INTRODUCTION: WORKING AROUND THE LIMITATIONS OF AI; CHAPTER 1 INTRODUCTION: WORKING AROUND THE LIMITATIONS OF AI; CHAPTER 2 MENTAL MODELS: DIAGRAMS IN THE MIND'S EYE; CHAPTER 2 MENTAL MODELS: DIAGRAMS IN THE MIND'S EYE; CHAPTER 3 TYPES OF DIAGRAMS; CHAPTER 3 TYPES OF DIAGRAMS; CHAPTER 4 LOGIC REASONING WITH DIAGRAMS; CHAPTER 4 LOGIC REASONING WITH DIAGRAMS; CHAPTER 5 RULE-BASED EXPERT SYSTEMS; CHAPTER 5 RULE-BASED EXPERT SYSTEMS; CHAPTER 6 RULE-BASED REASONING WITH DIAGRAMS. 
<br/><br/> 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) s. 
<br/><br/><label>ISBN: </label>0470400722 9780470400722 9780470400777 0470400773 1282455486 9781282455481 
<br/><br/><label>Standard No.: </label>10.1002/9780470400777  doi 
<br/><br/><label>Source: </label>10.1002/9780470400777  Wiley InterScience  http://www3.interscience.wiley.com 
<br/><br/><label>LCCN: </label>
<br/><br/><label>Nat. Bib. No.: </label>GBA959223  bnb 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>015291522  Uk 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence--Graphic methods.<br/>Artificial intelligence--Mathematics.<br/>Reasoning--Graphic methods.<br/>Intelligence artificielle--M�ethodes graphiques.<br/>Intelligence artificielle--Math�ematiques.<br/>COMPUTERS--Enterprise Applications--Business Intelligence Tools.<br/>COMPUTERS--Intelligence (AI) & Semantics.<br/>Artificial intelligence--Mathematics
<br/><br/><label>LC Class. No.: </label>Q335  / .N355 2010 
<br/><br/><label>Dewey Class. No.: </label>006.3