Approach-Induced Biases in Human Information Sampling

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Approach-Induced Biases in Human Information Sampling

Information sampling is often biased towards seeking evidence that confirms one's prior beliefs. Despite such biases being a pervasive feature of human behavior, their underlying causes remain unclear. Many accounts of these biases appeal to limitations of human hypothesis testing and cognition, de facto evoking notions of bounded rationality, but neglect more basic aspects of behavioral contro...

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Correction: Approach-Induced Biases in Human Information Sampling

[This corrects the article DOI: 10.1371/journal.pbio.2000638.].

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Analytical estimates of limited sampling biases in different information measures.

Measuring the information carried by neuronal activity is made difficult, particularly when recording from mammalian cells, by the limited amount of data usually available, which results in a systematic error. While empirical ad hoc procedures have been used to correct for such error, we have recently proposed a direct procedure consisting of the analytical calculation of the average error, its...

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Language-induced Biases on Human Sequential Learning

What are the effects of experience on subsequent learning? We explored the effects of language-specific word order knowledge on the acquisition of sequential conditional information. Korean and English adults were engaged in a sequence learning task involving three different sets of stimuli: auditory linguistic (nonsense syllables), visual nonlinguistic (nonsense shapes), and auditory non-lingu...

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Sampling Biases in IP Topology Measurements

Considerable attention has been focused on the properties of graphs derived from Internet measurements. Router-level topologies collected via traceroute-like methods have led some to conclude that the router graph of the Internet is well modeled as a power-law random graph. In such a graph, the degree distribution of nodes follows a distribution with a power-law tail. We argue that the evidence...

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ژورنال

عنوان ژورنال: PLOS Biology

سال: 2016

ISSN: 1545-7885

DOI: 10.1371/journal.pbio.2000638