Graham Jeffery’s Blog
This glossary started life in a 1988 paper by Samuel Holtzman, Decision Analysis and Influence Diagrams: Fundamental Concepts and Glossary, and is reproduced here with permission—thank you, Sam. Additions and updating for more modern terminology are by Graham Jeffery.
For more information, please see our decision analysis reading list and our recommended book: Decision Analysis for the Professional.
Natural Hedge
A natural hedge arises when a business invests in two different assets or business units where the cash flows from each cancel out some particular risk. When things go bad for one, they go well for the other, and vice versa.
Yin-yang
Yin-yang is the set of concepts (usually a pair) that, although different, cannot exist without each other (eg, light and darkness, good and bad)—from the Chinese terms for male and female. The term also refers to the two sides of an issue.
See also: context and stationarity.
Wizard
A wizard is a mythical character who can change the future, usually for a fee, provided he is given a well-defined request (one that passes the clarity test). The concept of the wizard is useful in decision analysis for assessing deterministic preferences by eliminating the complexity added by uncertainty. Calling on the wizard in a meaningful manner is subject to important restrictions (about the nature of free will and the meaning of counterfactual statements).
See also: assessment, clairvoyant, context, outcome and value of control.
Wisdom base
In an intelligent decision system, the wisdom base is that portion of its knowledge that embodies fundamental—and, hence, portable—principles (ie, norms) of good decision-making. The system’s wisdom base is distinguished from its more traditional knowledge bases, which contain domain-specific knowledge.
See also: context, decision analysis, normative and stationarity.
Well-formed partial relevance diagram
A well-formed partial relevance diagram (WFPRD) is a subset of the nodes in a relevance diagram that meets the criteria for a well-formed relevance diagram.
See also...
- Well-formed partial decision relevance diagram
- Well-formed relevance diagram
- Well-formed decision relevance diagram
- Values of a variable
- Value of information
- Value of control
- Value node
- Value model
- Utility function
- Utile
- Unk-unk
- Value of wizardry
- Value of clairvoyance
- Unknown unknown
- Unconditional probability distribution
- Uncertain variable
- Toy problem
- Time preference
- Successor
- Substantive knowledge map
- Stochastic sensitivity analysis
- Stochastic variable
- Stochastic node
- Stochastic assessment
- Stochastic
- Stationarity
- Situation
- Single-decision-maker condition
- Sensitivity analysis
- Risk tolerance
- Risk sensitivity
- Risk-aversion coefficient
- Risk Attitude
- Risk
- Reversal
- Removal
- Relevant
- Related
- Redundant knowledge map
- Reduction
- Random variable
- Range
- Profit lottery
- Probability theory
- Probability mass function
- Probability distribution
- Probability density function
- Probabilistic inference
- Probabilistic basis
- Probabilistic analysis
- Probabilistic
- Prescriptive
- Preferences
- Predecessor
- Pertinent
- Pedigree
- Pairwise independence
- Ownership
- Outcome
- Optimising
- Objective Function
- Numeraire
- Normative
- Norm
- No-Forgetting Condition
- No-Forgetting Arrow
- Node Ordering
- Node
- Net Present Value
- Neighbour
- Mutual Independence
- Money Pump
- Mining a Decision Basis
- Minimal Decision Relevance Diagram
- Maximum Expected Utility
- Material
- Marginal Probability Distribution
- Linking
- Lottery
- Knowledge Map
- Knowledge Base
- Justifying a Decision Basis
- Joint Probability Distribution
- Intelligent Decision System
- Informational Arrow
- Information
- Relevance Diagram
- Background of Understanding
- Arrow Addition
- Arc
- Clairvoyant Test
- Conditioning Arc
- DSS
- DA
- ID
- IDS
- Influence Diagram
- KB
- MEU
- NPV