Are Bayesian decisions artificially intelligent? The effect of task and personality on conservatism in processing information

Henry A. Alker, Margaret G Hermann

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Used a 2 × 3 design to explore the effects of complexity and importance of decision on conservatism in processing information. 120 undergraduate males considered 2 or 3 alternative explanation for 1 of 3 problems differing in perceived importance, and indicated which explanations was more or most probable. These probability statements were compared with "optimal" probabilities, arrived at by using Bayes's theorem. The more important and complex the decisions were perceived to be, the more conservative the Ss were when compared to optimal Bayesian values. The differences were more pronounced as the number of alternatives increased. 7 individual difference variables measuring adequacy in processing information were unrelated to conservatism. A process analysis suggests that strongly held initial opinions can limit the judged relevance of subsequent information and, in turn, affect the optimal Bayesian decision. (20 ref.) (PsycINFO Database Record (c) 2006 APA, all rights reserved).

Original languageEnglish (US)
Pages (from-to)31-41
Number of pages11
JournalJournal of Personality and Social Psychology
Volume19
Issue number1
DOIs
StatePublished - Jul 1971
Externally publishedYes

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conservatism
Politics
Automatic Data Processing
information processing
Personality
personality
Bayes Theorem
Individuality
process analysis
Values

Keywords

  • Bayesian probability
  • conservatism in information processing, complexity &
  • importance of decision &

ASJC Scopus subject areas

  • Social Psychology
  • Sociology and Political Science

Cite this

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