Users without a subscription are not able to see the full content.

## Gerd Gigerenzer, Ralph Hertwig, and Thorsten Pachur

Print publication date: 2011

Print ISBN-13: 9780199744282

Published to Oxford Scholarship Online: May 2011

DOI: 10.1093/acprof:oso/9780199744282.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 31 October 2020

# “If… ”: Satisficing Algorithms for Mapping Conditional Statements onto Social Domains

Chapter:
(p.726) Chapter 38 “If… ”: Satisficing Algorithms for Mapping Conditional Statements onto Social Domains
Source:
Heuristics
Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199744282.003.0038

People regularly use conditional statements to communicate promises and threats, advice and warnings, permissions and obligations to other people. Given that all conditionals are formally equivalent—“if P, then Q”— the question is: When confronted with a conditional statement, how do people know whether they are facing a promise, a threat, or something else? In other words, what is the cognitive algorithm for mapping a particular conditional statement onto its corresponding social domain? This paper introduces the pragmatic cues algorithm and the syntactic cue algorithm as partial answers to this question. Two experiments were carried out to test how well these simple satisficing algorithms approximate the performance of the actual cognitive algorithm people use to classify conditional statements into social domains. Conditional statements for promises, threats, advice, warnings, permissions, and obligations were collected from people, and given to both other people and the algorithms for their classification. Their corresponding performances were then compared. Results revealed that even though these algorithms utilized a minimum number of cues and drew only a restricted range of inferences from these cues, they performed well above chance in the task of classifying conditional statements as promises, threats, advice, warnings, permissions, and obligations. Moreover, these simple satisficing algorithms performed comparable to actual people given the same task.

Keywords:   heuristics, satisficing, conditional statement

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.