Copyright (c) 2013 John L. Jerz

Rational Choice and Judgment (Brown, 2005)

Home
A Proposed Heuristic for a Computer Chess Program (John L. Jerz)
Problem Solving and the Gathering of Diagnostic Information (John L. Jerz)
A Concept of Strategy (John L. Jerz)
Books/Articles I am Reading
Quotes from References of Interest
Satire/ Play
Viva La Vida
Quotes on Thinking
Quotes on Planning
Quotes on Strategy
Quotes Concerning Problem Solving
Computer Chess
Chess Analysis
Early Computers/ New Computers
Problem Solving/ Creativity
Game Theory
Favorite Links
About Me
Additional Notes
The Case for Using Probabilistic Knowledge in a Computer Chess Program (John L. Jerz)
Resilience in Man and Machine

Decision Analysis for the Decider

RCJBrown.jpg

"...the most thorough and accessible treatment of decision analysis that I am familiar with...a comprehensive toolkit that will be useful to anyone who seeks further practice in using the technology." (PscyCRITIQUES, July 19, 2006)

"…a well-written textbook aimed at helping students make better personal and professional decisions…the techniques in the book are worthy of study." (MAA Reviews, April 8, 2006)

"...the book presents an insight on the practical application of decision analysis in the private and public sector." (EADM Bulletin, Autumn 2005)

"...an excellent resource for any organization or as a textbook for decision-making courses in a variety of fields, including public policy, business management, and systems engineering." (SirReadaLot.org)

Review
"This book will be particularly useful to people who must make complex decisions for their organizations. It is very clearly written and well-organized. General readers will find it interesting and accessible."
—Robert Pirie, Former Under Secretary of the Navy and Assistant Secretary of Defense

"In the 40 years since we worked together on the beginnings of decision analysis at Harvard Business School, Brown has adapted it to the practical needs of real deciders and become a uniquely successful decision aider to top executives.  He has distilled this experience here for real-world deciders with unmatched authority, clarity and candor."
—Andrew Kahr, business strategist, described as one of the "great visionaries" of the financial world (by Joseph Nocera, A Piece of the Action)

"This is a lively, readable, yet intellectually honest introduction to decision analysis by one of the field's leaders.  While it does not review the scholarly literature, it is informed by that literature.  The exercises and examples seem excellent because they are realistic (or humorous, or both). The coverage is thorough, practical and well-written."
—Jonathan Baron, author of Thinking and Deciding

p.xiii Decisions permeate all human activity. We all make decisions, all the time, for ourselves or for the organizations we work for. Sometimes we get them wrong and regret the consequences; and sometimes we get them right but can't explain why. This is a textbook for courses to help students with such problems and generally to improve their professional or private decision making, supported by tools of personal decision analysis.
 
p.38 A step beyond simply listing the pros and cons is for D [a person making a decision] to reason informally about the three essential decision elements noted in Chapter 1, goals, options, and outcomes
 
p.59 Utility, as used here, is any numerical measure of welfare, satisfaction, etc., such that [decision maker] D would prefer more [of that particular quantity, whatever it is] to less.
 
p.66 Decision analysis contributes to only part of the decision . It does not directly address the critical task of identifying promising options.
 
p.132 Requirements of a Useful Decision Aid: Tool Essentials [section title]
To help [decision maker] D manage his/her private and professional life more rationally, [the] decision aid needs to meet some essential requirements. The analytic strategy needs to assure that:
  • The aid addresses the right question, whose answer, if sound, will help [decision maker] D decide.
  • The aid makes use of all relevant knowledge available to [decision maker] D.
  • Modeling is logically sound.
  • The model input accurately represents the knowledge available.
  • Output is in a usable, understandable, and timely form for [decision maker] D.
  • The tool's cost is acceptable.

Unless all these requirements are met, the resulting "decision aid" is likely to be more harmful than helpful to rational action.

p.139 A choice model can be structured in many different ways, appropriate in different circumstances... Distinctions have to do with how useful the structure is for the decision at hand... Different structures can focus attention on different aspects of the choice. This focus permits analytic effort to be spent where it can do the most good. An excellent way to organize your thinking initially about what the key considerations are is with an influence sketch (shown in Appendix 8A).[footnote: An influence sketch is a simple, qualitative version of the influence diagram, which is a well-established computerized device, logically equivalent to a decision tree, that deals more compactly and clearly with a complex representation of the problem, with many features of option outcome distinguished (Schacter, 1986)] The influence sketch lays out the salient causal connections between option and utility in a way that permits you to select a few to model explicitly.
 
p.151 An influence sketch helps identify contributors and settings that may have a significant  effect on the utility of options. The evaluation of options may involve considering numerous possibilities intervening between commitment to an option and its ultimate utility to the decider. An influence sketch represents these graphically. Essentially, influence sketches draw attention to critical developments, events, and subsequent choices which may influence evaluation of the target choice and the interconnection between them. In particular, they show what influences what, within the overall influence of target choice on objectives (see Figure 8A.1a).
    More ambitious influence diagrams have been developed and used as computational frameworks to evaluate options, much as decision trees do, but more compactly (Oliver and Smith, 1990).

Enter supporting content here