We propose a theory of immediate inferences from assertions containing a single quantifier, such as: All of the artists are bakers; therefore, some of the bakers are artists. The theory is based on mental models and is implemented in a computer program, mReasoner. It predicts three main levels of increasing difficulty: (a) immediate inferences in which the premise and conclusion have identical meanings; (b) those in which the initial mental model of the premise yields the correct conclusion; and (c) those in which only an alternative to the initial model establishes the correct conclusion. These levels of difficulty were corroborated for inferences to necessary conclusions (in a reanalysis of data from Newstead, S. E., & Griggs, R. A. (1983). Drawing inferences from quantified statements: A study of the square of opposition. Journal of Verbal Learning and Verbal Behavior, 22, 535-546), for inferences to modal conclusions, such as, it is possible that all of the bakers are artists (Experiment 1), for inferences with unorthodox quantifiers, such as, most of the artists (Experiment 2), and for inferences about the consistency of pairs of quantified assertions (Experiment 3). The theory also includes three parameters in a stochastic system that predicted quantitative differences in accuracy within the three main sorts of inference.
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http://dx.doi.org/10.1080/17470218.2015.1007151 | DOI Listing |
J Radiol Prot
January 2025
School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, AUSTRALIA.
Historically, radiation exposure to mineral sands workers arose primarily from intake of thorium associated with monazite dust generated in mineral separation plants. Research investigations in the 1990s provided greater insight into the characteristics of inhaled thorium ore dust and bioassay studies inferred that some workers had accumulated significant lung burdens of thorium. Recent changes to biokinetic models have increased the radiation dose assessed to arise from thorium intake, raising questions on the appropriateness of current assumptions used in exposure assessment and feasibility of further bioassay research.
View Article and Find Full Text PDFHumans excel at applying learned behavior to unlearned situations. A crucial component of this generalization behavior is our ability to compose/decompose a whole into reusable parts, an attribute known as compositionality. One of the fundamental questions in robotics concerns this characteristic: How can linguistic compositionality be developed concomitantly with sensorimotor skills through associative learning, particularly when individuals only learn partial linguistic compositions and their corresponding sensorimotor patterns? To address this question, we propose a brain-inspired neural network model that integrates vision, proprioception, and language into a framework of predictive coding and active inference on the basis of the free-energy principle.
View Article and Find Full Text PDFBraz J Biol
January 2025
Universidade Federal do Piauí - UFPI, Floriano, PI, Brasil.
Phrynops geoffroanus has a wide distribution in South America, living in aquatic environments such as rivers, streams, and lakes, in natural and urban environments. In this work, the plastron formula and the diversity index associated with the allometric condition are established for the species. For the morphometric analyses, the following were calculated: standard error, class intervals, sample standard deviation, principal component analysis, and allometry.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Spatially resolved transcriptomics (SRT) technologies facilitate the exploration of cell fates or states within tissue microenvironments. Despite these advances, the field has not adequately addressed the regulatory heterogeneity influenced by microenvironmental factors. Here, we propose a novel Spatially Aligned Graph Transfer Learning (SpaGTL), pretrained on a large-scale multi-modal SRT data of about 100 million cells/spots to enable inference of context-specific spatial gene regulatory networks across multiple scales in data-limited settings.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Earth Sciences, Engineering Faculty, Autonomous University of San Luis Potosi, Av. Manuel Nava 8, San Luis Potosí, SLP, Mexico.
Ecosystems such as wetlands have karst groundwater as their primary source of preserving their services and functions. Karst systems are complex hydrogeological systems that are difficult to study because of their complicated functioning mechanism, which requires an interdisciplinary effort based on hydrodynamic assessment and characterization of the hydrogeology of the system. The study area is the Ramsar wetland Ciénaga de Tamasopo (Mexico), which is dependent on the discharge of karst groundwater that is affected by water extraction of extensive sugarcane agriculture and is also the main water source for the rural towns.
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