02725nam 2200553Ia 450 991014047850332120230725040250.00-470-40077-3(CKB)2920000000000099(EBL)469746(OCoLC)536118806(SSID)ssj0000336692(PQKBManifestationID)11241322(PQKBTitleCode)TC0000336692(PQKBWorkID)10301834(PQKB)10871055(MiAaPQ)EBC469746(Au-PeEL)EBL469746(CaPaEBR)ebr10355297(CaONFJC)MIL245548(EXLCZ)99292000000000009920090421d2010 uy 0engur|n|---|||||txtccrDiagrammatic reasoning in AI[electronic resource] /Robbie T. NakatsuHoboken, NJ Wileyc20101 online resource (346 p.)Description based upon print version of record.0-470-33187-9 DIAGRAMMATIC REASONING IN AI; CONTENTS; PREFACE; ACKNOWLEDGMENTS; CHAPTER 1 INTRODUCTION: WORKING AROUND THE LIMITATIONS OF AI; CHAPTER 2 MENTAL MODELS: DIAGRAMS IN THE MIND'S EYE; CHAPTER 3 TYPES OF DIAGRAMS; CHAPTER 4 LOGIC REASONING WITH DIAGRAMS; CHAPTER 5 RULE-BASED EXPERT SYSTEMS; CHAPTER 6 RULE-BASED REASONING WITH DIAGRAMS; CHAPTER 7 MODEL-BASED REASONING; CHAPTER 8 INEXACT REASONING WITH CERTAINTY FACTORS AND BAYESIAN NETWORKS; CHAPTER 9 A FRAMEWORK FOR UNDERSTANDING DIAGRAMMATIC REASONING; INDEXPioneering 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 inteArtificial intelligenceGraphic methodsArtificial intelligenceMathematicsReasoningGraphic methodsArtificial intelligenceGraphic methods.Artificial intelligenceMathematics.ReasoningGraphic methods.006.3Nakatsu Robbie1964-997260MiAaPQMiAaPQMiAaPQBOOK9910140478503321Diagrammatic reasoning in AI2287160UNINA