Copyright (c) 2013 John L. Jerz

A Proposed Heuristic (Chapter 6 - Supporting Quotations from Published Works)

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6. Supporting Quotations from Published Works

In this section I present quotes from published works that I believe support my ideas or add value to them. My goal is to present the evidence (present in published literature) that tends to support the ideas present in the proposed heuristic.

In each section below, the links take you to pages where I present quotes and commentary. I present the entire quotation (rather than follow the academic tradition of just citing the author and the work in question) because it is assumed that the typical reader does not have access to these works. However, most of the books cited are relatively inexpensive when obtained from a good used book store. Why not read a book or two? 

If ordering a used book, I would suggest that you stick with books rated 'very good' quality or better. There are some books out there rated 'acceptable' or 'good' which in my opinion are in poor condition and not worth it to own.

This section is not as easy to read as the rest of this paper, but the material presented is important and shows that the ideas presented have been touched on by many other authors.

There is much evidence, when accumulated and put together in one place, which suggests that the proposed heuristic is based on sound principles from existing research. There is no definitive proof that is offered, nor can there ever be for a heuristic.

Click on a link below for quotes and commentary from the following published works. As of 1 January, 2008 I have 57 references in this section:

6.1 Artificial Intelligence/ Intelligent Systems:

Artificial Intelligence - A Modern Approach by Russell and Norvig

Artificial Intelligence by Michael Negnevitsky

Artificial Intelligence, 3rd Edition by P. H. Winston

Introduction to Artificial Intelligence by Peter C. Jackson

Artificial Intelligence, 5th Edition, by George F. Luger

Artificial Intelligence - The Very Idea by Haugeland

Planning in Intelligent Systems by van Wezel, Jorna and Meystel

Intelligent Systems: Architecture, Design and Control by Meystel and Albus

Probabilistic Reasoning in Intelligent Systems by Judea Pearl

Artificial Intelligence Illuminated by Coppin

Decision Support Systems and Intelligent Systems by Turban, Aronson and Liang

6.2 Chess Theory:

Elements of Positional Evaluation, 1990 edition, by Heisman

Play Like a Grandmaster by Kotov

Simple Chess by Michael Stean

Simple Chess by John Emms

Basic Chess Endings by Reuben Fine and Pal Benko

Improve Your Positional Chess by Carsten Hansen

Excelling at Positional chess by Jacob Aagaard

Secrets of Positional Chess by Drazen Marovic

Positional Chess by Shaun Taulbut

The Art of Planning in Chess by Neil McDonald

6.3 Computer Chess:

Chess Skill in Man and Machine by Peter W. Frey

Computer Chess and Cognition by Marsland and Schaeffer

1975 U.S. Computer Chess Championship by David Levy

Chess and Machine Intuition by George Atkinson

Computer Chess by David E. Welsh

Computer Chess II by Welsh and Baczynskyj

Computers, Chess and Long-range Planning by Botvinnik

Computers in Chess: Solving Inexact Search Problems by Botvinnik

How Computers Play Chess by Levy and Newborn

Computer Chess by Pachman and Kuhnmund, 1986

6.4 Cognitive Science/ Thinking/ Decision Making:

A Primer on Decision Making by James March

On Intelligence by Jeff Hawkins

Cognitive Science by George F. Luger

Simple Heuristics that Make Us Smart by Gigerenzer and Todd

Adaptive Thinking by Gerd Gigerenzer

Blackwell Handbook of Judgment and Decision Making by Koehler and Harvey

Emerging Perspectives on Judgment and Decision Research by Schneider and Shanteau

Intuition in Judgment and Decision Making by Plessner, C. Betsch and T. Betsch

Rational Choice and Judgment by Brown

Looking for Information by Case

Decisions with Multiple Objectives by Keeney and Raiffa

Rational Choice in an Uncertain World by Hastie and Dawes

Decisions, Decisions by Welch

6.5 Knowledge Engineering/ Systems Engineering

Introduction to Knowledge Engineering by Kendal and Creen

Engineering of Mind by James Albus and Alexander Meystel

Turning Numbers into Knowledge by Jonathan G. Koomey

Systems Engineering and Analysis, 4th Edition, by Blanchard and Fabrycky

System Dynamics, Fourth Edition by Ogata

Systems Engineering Principles and Practice by Kossiakoff and Sweet

Discussion of the Method by Billy Koen

The Power of Full Engagement by Loehr and Schwartz

6.6 Modeling/ Problem Solving/ Planning/ Expert Systems:

How Much Information Does an Expert Use? Is it Relevant? by James Shanteau

Long-Range Planning by Lieutenant Colonel Alan Gropman

How To Model It by Starfield, Smith, and Bleloch

How to Solve It: Modern Heuristics by Michalewicz and Fogel

How To Solve It by George Polya

Myths of Innovation by Berkun

The Art of Problem Solving by Ackoff

Strategies for Creative Problem Solving by Folger and LeBlanc, 1995 edition

6.7 Computer Programming

The Mythical Man-Month by Brooks

The Practice of Programming by Kernighan and Pike

Software Engineering, 8th edition by Sommerville

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Chapter 7 - Summary

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