Diagrammatic Reasoning in AI
1. Edition December 2009
346 Pages, Hardcover
Wiley & Sons Ltd
Short Description
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. In addition to static diagrams, the book examines more interactive and dynamic ones that are a central part of the user interface itself, providing researchers, programmers, intelligent systems designers, and web application designers with a broad range of topics for intro-advanced levels of understanding.
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. In addition to static diagrams, the book examines more interactive and dynamic ones that are a central part of the user interface itself, providing researchers, programmers, intelligent systems designers, and web application designers with a broad range of topics for intro-advanced levels of understanding.
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 Cetainty Factors and Bayesian Networks.
Chapter 9 A Framework for Understanding Diagrammatic Reasoning.
Index.