There is much evidence that high-capacity reasoners perform better on a variety of reasoning tasks (Stanovich, 1999), a phenomenon that is normally attributed to differences in either the efficacy or the probability of deliberate (Type II) engagement (Evans, 2007). In contrast, we hypothesized that intuitive (Type I) processes may differentiate high- and low-capacity reasoners. To test this hypothesis, reasoners were given a reasoning task modeled on the logic of the Stroop Task, in which they had to ignore one dimension of a problem when instructed to give an answer based on the other dimension (Handley, Newstead, & Trippas, 2011). Specifically, in Experiment 1, 112 reasoners were asked to give judgments consistent with beliefs or validity for 2 different types of deductive reasoning problems. In Experiment 2, 224 reasoners gave judgments consistent with beliefs (i.e., stereotypes) or statistics (i.e., base-rates) on a base rate task; half responded under a strict deadline. For all 3 problem types and regardless of the deadline, high-capacity reasoners performed better for logic/statistics than did belief judgments when the 2 conflicted, whereas the reverse was true for low-capacity reasoners. In other words, for high-capacity reasoners, statistical information interfered with their ability to make belief-based judgments, suggesting that, for them, probabilities may be more intuitive than stereotypes. Thus, at least part of the accuracy-capacity relationship observed in reasoning may be because of intuitive (Type I) processes. (PsycINFO Database Record
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Braz J Microbiol
March 2024
Laboratory of Applied Microbiology and Genetics of Microorganisms, Pará State University, Tv. Perebebuí, 2623, Marco, Belém, PA, Brazil.
Composting is a natural process of decomposition of organic matter that occurs by the action of microorganisms such as fungi, bacteria, and actinobacteria. The actinobacteria are present throughout the process due to their resistance to different environmental conditions. They are Gram-positive, filamentous bacteria with a high capacity for producing secondary metabolites of biotechnological importance.
View Article and Find Full Text PDFFront Artif Intell
January 2022
Flowers Team, Inria Bordeaux, Talence, France.
An embodied, autonomous agent able to set its own goals has to possess geometrical reasoning abilities for judging whether its goals have been achieved, namely it should be able to identify and discriminate classes of configurations of objects, irrespective of its point of view on the scene. However, this problem has received little attention so far in the deep learning literature. In this paper we make two key contributions.
View Article and Find Full Text PDFEnviron Technol
April 2023
Laboratory of Health and Environment Sciences, Department of Pharmaceutical Sciences, Universidade Federal de São Paulo, Diadema, Brazil.
Actinomycetes are versatile about their metabolism, displaying high capacity to produce bioactive metabolites. Enzymes from actinomycetes represent new opportunities for industrial applications. However, proteases from actinomycetes are poorly described by literature.
View Article and Find Full Text PDFFront Psychol
September 2021
Department of Psychiatry and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
The multiple realizability thesis (MRT) is an important philosophical and psychological concept. It says any mental state can be constructed by multiple realizability (MR), meaning in many distinct ways from different physical parts. The goal of our study is to find if the MRT applies to the mental state of consciousness among animals.
View Article and Find Full Text PDFCognition
March 2021
University of Saskatchewan, Canada. Electronic address:
This study tested the relationship between strategy use (assessed by eye-gaze patterns), cognitive ability (CA), and reasoning performance on a ratio-bias task. For the ratio-bias problems, participants (N = 125) chose which of two ratios was larger; each ratio was represented both as a fraction and as a picture. Problems were solved in two blocks: once under a deadline (Time1) and once in free time (Time2).
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