Simple Heuristics That Make Us Smart
E890550
"Simple Heuristics That Make Us Smart" is a book that argues people can often make better and faster decisions by using simple mental shortcuts rather than complex analytical methods.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Simple Heuristics That Make Us Smart canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T10884977 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simple Heuristics That Make Us Smart Context triple: [Gerd Gigerenzer, notableWork, Simple Heuristics That Make Us Smart]
-
A.
Noise: A Flaw in Human Judgment
"Noise: A Flaw in Human Judgment" is a non-fiction book that examines the often-overlooked variability and inconsistency in human decision-making and offers strategies to reduce such errors in fields like law, medicine, and business.
-
B.
Center for Adaptive Rationality
The Center for Adaptive Rationality is a research unit that investigates how humans make decisions and reason under uncertainty, often using insights from psychology, economics, and cognitive science.
-
C.
Rationality: What It Is, Why It Seems Scarce, Why It Matters
"Rationality: What It Is, Why It Seems Scarce, Why It Matters" is a non-fiction book by cognitive psychologist Steven Pinker that explores the nature of human reasoning, why people often think irrationally, and how better reasoning can improve individual and societal decision-making.
-
D.
Two Faces of Common Sense
Two Faces of Common Sense is a section in Karl Popper’s work "Objective Knowledge" where he analyzes and contrasts different aspects of everyday common-sense thinking in relation to scientific knowledge.
-
E.
Unified Theories of Cognition
Unified Theories of Cognition is a comprehensive cognitive science framework proposed by Allen Newell that seeks to explain diverse mental processes—such as problem solving, memory, and learning—within a single, unified theoretical architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simple Heuristics That Make Us Smart Target entity description: "Simple Heuristics That Make Us Smart" is a book that argues people can often make better and faster decisions by using simple mental shortcuts rather than complex analytical methods.
-
A.
Noise: A Flaw in Human Judgment
"Noise: A Flaw in Human Judgment" is a non-fiction book that examines the often-overlooked variability and inconsistency in human decision-making and offers strategies to reduce such errors in fields like law, medicine, and business.
-
B.
Center for Adaptive Rationality
The Center for Adaptive Rationality is a research unit that investigates how humans make decisions and reason under uncertainty, often using insights from psychology, economics, and cognitive science.
-
C.
Rationality: What It Is, Why It Seems Scarce, Why It Matters
"Rationality: What It Is, Why It Seems Scarce, Why It Matters" is a non-fiction book by cognitive psychologist Steven Pinker that explores the nature of human reasoning, why people often think irrationally, and how better reasoning can improve individual and societal decision-making.
-
D.
Two Faces of Common Sense
Two Faces of Common Sense is a section in Karl Popper’s work "Objective Knowledge" where he analyzes and contrasts different aspects of everyday common-sense thinking in relation to scientific knowledge.
-
E.
Unified Theories of Cognition
Unified Theories of Cognition is a comprehensive cognitive science framework proposed by Allen Newell that seeks to explain diverse mental processes—such as problem solving, memory, and learning—within a single, unified theoretical architecture.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic book
ⓘ
book ⓘ |
| academicImpact | widely cited in judgment and decision-making literature ⓘ |
| argumentAgainst | the view that more information and computation always improve decisions ⓘ |
| author |
Gerd Gigerenzer
ⓘ
Peter M. Todd ⓘ The ABC Research Group ⓘ |
| contrastsWith |
expected utility theory
ⓘ
optimization-based decision models ⓘ rational choice theory ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| editor |
Gerd Gigerenzer
ⓘ
Peter M. Todd ⓘ |
| field |
behavioral decision making
ⓘ
judgment and decision making ⓘ |
| focusesOn |
environmental structure in decision performance
ⓘ
how people use limited information to make decisions ⓘ |
| genre |
cognitive science
ⓘ
decision theory ⓘ psychology ⓘ |
| influencedBy |
Herbert A. Simon
ⓘ
linked to:
Herbert Simon
classical work on heuristics and biases ⓘ |
| isbn | 9780195143812 ⓘ |
| language | English ⓘ |
| mainClaim |
In many environments simple decision rules can outperform complex optimization models.
ⓘ
Simple heuristics can lead to good decisions with limited information and computation. ⓘ |
| mainTopic |
adaptive decision making
ⓘ
bounded rationality ⓘ fast and frugal heuristics ⓘ heuristics ⓘ |
| proposesConcept |
fast and frugal trees
ⓘ
one-reason decision making ⓘ recognition heuristic ⓘ take-the-best heuristic ⓘ |
| publicationYear | 1999 ⓘ |
| publisher | Oxford University Press ⓘ |
| relatedConcept |
heuristics and biases
ⓘ
satisficing ⓘ |
| relatedWork |
Adaptive Thinking: Rationality in the Real World
ⓘ
Heuristics and Biases: The Psychology of Intuitive Judgment ⓘ |
| structure | edited volume with multiple contributed chapters ⓘ |
| targetAudience |
researchers in artificial intelligence
ⓘ
researchers in cognitive science ⓘ researchers in economics ⓘ researchers in psychology ⓘ |
| theoreticalFramework |
bounded rationality (Herbert Simon tradition)
ⓘ
ecological rationality ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Simple Heuristics That Make Us Smart Description of subject: "Simple Heuristics That Make Us Smart" is a book that argues people can often make better and faster decisions by using simple mental shortcuts rather than complex analytical methods.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.