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Week 6 Lec 11: Heuristics

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Total cards: 24•Content version: v4•Public deck•Updated: 8/1/2026

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#1
Front (Question)

What is bounded rationality?

Back (Answer)

Decision makers have limited capacity for processing information Depending on properties of the task environment and mental strategy, preferences will vary

#2
Front (Question)

What are multi-attribute choice options?

Back (Answer)

Choice among options with many features/attributes

#3
Front (Question)

How do we make a rational choice among these options?

Back (Answer)

By taking the subjective value of an option as the weighted sum of choice relevant attribute values

#4
Front (Question)

What is the MAUT?

Back (Answer)

Multi-attribute utility theory/technique

#5
Front (Question)

What are the features of MAUT?

Back (Answer)

Structured methodology designed to handle the trade offs among multiple objectives Considers all relevant attributes of all decent alternates Uses a weighted linear model to calculate evaluations Result: Rank ordered evaluation of alternatives that reflect DM’s preferences

#6
Front (Question)

What were some early applications of MAUT?

Back (Answer)

Public sector and policy issues, privatization of healthcare, college sports teams Power plant related decisions Military development of new weapons Ranking of college sports teams, degree programs

#7
Front (Question)

Outline the MAUT procedure

Back (Answer)

Step 1: Choose a set of relevant attributes Step 2: Assemble or create a set of alternatives Step 3: Score each alternative on each attribute

#8
Front (Question)

Outline weight attribution in MAUT procedure.

Back (Answer)

Step 1: Rank the attributes by its importance Step 2: Create raw weights Step 3: Standardize the weights by dividing each one by total weight

#9
Front (Question)

Outline summary evaluations in MAUT procedure

Back (Answer)

Multiply standardized weight by single attribute utility functions Choose alternative with highest evaluation

#10
Front (Question)

Is the MAUT normative?

Back (Answer)

Yes, because it should lead to optimal choice

#11
Front (Question)

When does MAUT perform poorly?

Back (Answer)

When there is time pressure/other constraints When it makes you pay too much attention to unimportant attributes For when we have trouble identifying important attributes

#12
Front (Question)

What is the Equal Weighted Addition Model?

Back (Answer)

Adds attribute values regardless of importance (ignores attribute weights)

#13
Front (Question)

What is the Lexicographic model?

Back (Answer)

Model in which DM has pre-specified ordering of the importance of different attributes If there is a clear winner on first attribute, you stop Leads to extreme choices

#14
Front (Question)

What is satisficing?

Back (Answer)

Most people search sequentially and stop when a satisficing level of reservation utility is reached

#15
Front (Question)

Describe the model of satisficing

Back (Answer)

• Set cutoffs on all important attributes • Consider alternatives one at a time • Pick the first alternative that exceeds all cutoffs

#16
Front (Question)

Is satisficing alternative based or attribute based?

Back (Answer)

Alternative based strategy

#17
Front (Question)

Describe Caplin (2011) study on people satisficing.

Back (Answer)

Search theoretic choice experiment to study the impact of incomplete consideration on the quality of choices Asked how long do people search for the best option before they make a choice Results: Best option found less often in more complex situations, even when there is no time pressure

#18
Front (Question)

What is reservation utility?

Back (Answer)

The minimum level of utility that must be guaranteed to make a contract acceptable

#19
Front (Question)

Describe the Elimination by Aspects model.

Back (Answer)

• Pick the most important attribute and set a cutoff • Pick the next most important attribute and set a second cutoff • Continue through all attributes till only one alternatives remain

#20
Front (Question)

Is EBA an alternative or attribute based strategy?

Back (Answer)

Attribute based (consider all alternatives one attribute at a time)

#21
Front (Question)

How does EBA solve the lexicographic problem?

Back (Answer)

Solves the problem of choosing extreme options

#22
Front (Question)

What are shortcomings of the EBA?

Back (Answer)

May lead to poor decisions Fails to ensure alternatives chosen are superior to those eliminated

#23
Front (Question)

What are choice heuristics?

Back (Answer)

Satisficing and EBA

#24
Front (Question)

What are disadvantages of choice heuristics?

Back (Answer)

May not choose best alternative Choice may be affected by irrelevant factors such as search order