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                                       Details for article 3 of 6 found articles
 
 
  "If …": Satisficing algorithms for mapping conditional statements onto social domains
 
 
Title: "If …": Satisficing algorithms for mapping conditional statements onto social domains
Author: Lopez-Rousseau, Alejandro
Ketelaar, Timothy
Appeared in: European journal of cognitive psychology
Paging: Volume 16 (2004) nr. 6 pages 807-823
Year: 2004-11
Contents: People regularly use conditional statements to communicate promises and threats, advices 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, advices, 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 utilised 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, advices, warnings, permissions, and obligations. Moreover, these simple satisficing algorithms performed comparable to actual people given the same task.
Publisher: Psychology Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3 of 6 found articles
 
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