User:Whiteknight/Expert Systems

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This page is an outline for a proposed book or project. This is only a planning page, not an actual book.
  1. Do not add sub-pages to this outline.
  2. Any user may edit this outline, but Whiteknight maintains complete editorial control on this page.
  3. This page may be deleted without warning.

This outline was last edited on 29 November 2007. Last edit over 80 months ago. Please update.

(Whiteknight) (Discuss) (Book Foundry) (Current Books) (VBD Edit)

I do not know if I want to make this book either (a) a replacement for the existing Artificial Intelligence book, (b) A new book with a slightly modified title, or (c) a book focused on intellegent and expert systems. --Whiteknight (Page) (Talk) 02:35, 31 August 2007 (UTC)

The Plan[edit]

Target Audience
Advanced undergraduate and graduate students in the fields of electrical engineering, computer engineering, computer science, or a related field.
Scope
Will discuss intelligent systems, expert systems, A.I. and the current state of the art in these fields. Will not cover neural networks, genetic algorithms, or adaptive processes. Will discuss Prolog, Lisp, and related languages, but will not serve to teach them.
Prerequisites
Proficiency in computer programming (any language), solid understanding of computer systems and computer architectures. Formal Logic.
Corequisites
None.

Preface[edit]

Table of Contents[edit]

  • History of AI and Computing
  • Intellegent Systems

Expert System Basics[edit]

  • Introduction to Expert Systems
  • Types of Expert Systems
  • Components of Expert Systems

Tools and Shells[edit]

  • Tools
  • Shells
  • Languages
  • CLIPS
  • Jess
  • Prolog

Knowledge[edit]

  • What is Knowledge?
  • Productions
  • Semantic Nets
  • Frames
  • Propositional Logic
  • Quantifiers and Sets

Inference Engines[edit]

  • The Agenda
  • Forward Chaining
  • Backward Chaining
  • Refraction
  • Rule Selection
  • Deductive Reasoning
  • Resolution

Uncertainty[edit]

  • Probability
  • Backward Induction
  • Markov Chaining
  • Dempster-Shafer Theory
  • Fuzzy Logic

Pattern Matching[edit]

  • Rete Algorithm

Expert System Examples[edit]

  • DENDRAL
  • MYCIN
  • PROSPECTOR
  • Expert Tutoring Systems

Resources[edit]

  • Turing, Allen, Computing Machinery and Intellegence, Mind, 1959, p433-460.
  • Minsky, Marvin, Why People Think Computers Can't, AI Magazine, Vol 3 No 4, Fall 1982.
  • Kurzweil, Ray, The Singularity is Near, Penguin Books, 2005. ISBN 0143037889

Initial outline based in part on:

  • Giarratano, Joseph C., Riley, Gary D., Expert Systems: Principals and Programming, Fourth Edition, Thomson Course Technology, 2005. ISBN 0534384471

Existing Pages[edit]

Outline (20070914124407)[edit]

History of AI and Computing
Intelligent Systems

= Expert System Basics 

Introduction to Expert Systems
Types of Expert Systems
Components of Expert Systems

= Tools and Shells 

Tools
Shells
Languages

= Knowledge 

What is Knowledge?
Productions
Semantic Nets
Frames
Propositional Logic
Quantifiers and Sets

= Inference Engines 

Forward Chaining 
Backward Chaining
Managing The Agenda

= Uncertainty 

Dempster-Schaefer Probability
Fuzzy Logic

= Pattern Matching 

Outline (20071129141816)[edit]

+Reading level|Undergraduate
&Logic
&Computer Programming
-Computer science
-Computer engineering
-Artificial intelligence

History of AI and Computing
Intellegent Systems

= Expert System Basics 

Introduction to Expert Systems
Types of Expert Systems
Components of Expert Systems

= Tools and Shells 

Tools
Shells
Languages
CLIPS
Jess
Prolog

= Knowledge 

What is Knowledge?
Productions
Semantic Nets
Frames
Propositional Logic
Quantifiers and Sets

= Inference Engines 

The Agenda
Forward Chaining
Backward Chaining
Refraction
Rule Selection
Deductive Reasoning
Resolution

= Uncertainty 

Probability
Backward Induction
Markov Chaining
Dempster-Shafer Theory
Fuzzy Logic

= Pattern Matching 

Rete Algorithm

= Expert System Examples 

DENDRAL
MYCIN
PROSPECTOR
Expert Tutoring Systems