Decisions beyond boundaries: When more information is processed faster than less

Bounded rationality models usually converge in claiming that decision time and the amount of computational steps needed to come to a decision are positively correlated. The empirical evidence for this claim is, however, equivocal. We conducted a study that tests this claim by adding and omitting inf...

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Veröffentlicht in:	Acta psychologica Jg. 139; H. 3; S. 532 - 542
Hauptverfasser:	Glöckner, Andreas, Betsch, Tilmann
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier B.V 01.03.2012 Elsevier
Schlagworte:	Adaptive decision making Biological and medical sciences Bounded rationality Choice Behavior - physiology Cognition. Intelligence Cues Decision Making - physiology Decision making. Choice Female Fundamental and applied biological sciences. Psychology Heuristics Holistic processing Humans Male Mental Processes Parallel constraint satisfaction Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Response time Young Adult Response time Heuristics 4160 Neural Networks Parallel constraint satisfaction 2340 Cognitive Processes Bounded rationality Holistic processing Adaptive decision making Human Rational irrational Decision making Satisfaction Cognition Experimental study Information processing
ISSN:	0001-6918, 1873-6297, 1873-6297
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Abstract	Bounded rationality models usually converge in claiming that decision time and the amount of computational steps needed to come to a decision are positively correlated. The empirical evidence for this claim is, however, equivocal. We conducted a study that tests this claim by adding and omitting information. We demonstrate that even an increase in information amount can yield a decrease in decision time if the added information increases coherence in the information set. Rather than being influenced by amount of information, decision time systematically increased with decreasing coherence. The results are discussed with reference to a parallel constraint satisfaction approach to decision making, which assumes that information integration is operated in an automatic, holistic manner. ► We model decision making with Parallel Constraint Satisfaction Network models. ► We contrast it with a classic bounded rationality perspective. ► The effect of dropping low-valid information from decision tasks is investigated. ► Dropping information increases decision time if it decreases coherence. ► In such situations more information is processed faster than less.
AbstractList	Bounded rationality models usually converge in claiming that decision time and the amount of computational steps needed to come to a decision are positively correlated. The empirical evidence for this claim is, however, equivocal. We conducted a study that tests this claim by adding and omitting information. We demonstrate that even an increase in information amount can yield a decrease in decision time if the added information increases coherence in the information set. Rather than being influenced by amount of information, decision time systematically increased with decreasing coherence. The results are discussed with reference to a parallel constraint satisfaction approach to decision making, which assumes that information integration is operated in an automatic, holistic manner. ► We model decision making with Parallel Constraint Satisfaction Network models. ► We contrast it with a classic bounded rationality perspective. ► The effect of dropping low-valid information from decision tasks is investigated. ► Dropping information increases decision time if it decreases coherence. ► In such situations more information is processed faster than less. Bounded rationality models usually converge in claiming that decision time and the amount of computational steps needed to come to a decision are positively correlated. The empirical evidence for this claim is, however, equivocal. We conducted a study that tests this claim by adding and omitting information. We demonstrate that even an increase in information amount can yield a decrease in decision time if the added information increases coherence in the information set. Rather than being influenced by amount of information, decision time systematically increased with decreasing coherence. The results are discussed with reference to a parallel constraint satisfaction approach to decision making, which assumes that information integration is operated in an automatic, holistic manner.Bounded rationality models usually converge in claiming that decision time and the amount of computational steps needed to come to a decision are positively correlated. The empirical evidence for this claim is, however, equivocal. We conducted a study that tests this claim by adding and omitting information. We demonstrate that even an increase in information amount can yield a decrease in decision time if the added information increases coherence in the information set. Rather than being influenced by amount of information, decision time systematically increased with decreasing coherence. The results are discussed with reference to a parallel constraint satisfaction approach to decision making, which assumes that information integration is operated in an automatic, holistic manner. Bounded rationality models usually converge in claiming that decision time and the amount of computational steps needed to come to a decision are positively correlated. The empirical evidence for this claim is, however, equivocal. We conducted a study that tests this claim by adding and omitting information. We demonstrate that even an increase in information amount can yield a decrease in decision time if the added information increases coherence in the information set. Rather than being influenced by amount of information, decision time systematically increased with decreasing coherence. The results are discussed with reference to a parallel constraint satisfaction approach to decision making, which assumes that information integration is operated in an automatic, holistic manner.
Author	Glöckner, Andreas Betsch, Tilmann
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Keywords	Response time Heuristics 4160 Neural Networks Parallel constraint satisfaction 2340 Cognitive Processes Bounded rationality Holistic processing Adaptive decision making Human Rational irrational Decision making Satisfaction Cognition Experimental study Information processing
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Snippet	Bounded rationality models usually converge in claiming that decision time and the amount of computational steps needed to come to a decision are positively...
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SubjectTerms	Adaptive decision making Biological and medical sciences Bounded rationality Choice Behavior - physiology Cognition. Intelligence Cues Decision Making - physiology Decision making. Choice Female Fundamental and applied biological sciences. Psychology Heuristics Holistic processing Humans Male Mental Processes Parallel constraint satisfaction Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Response time Young Adult
Title	Decisions beyond boundaries: When more information is processed faster than less
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