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1 n, nominal realism, is-ought errors in moral reasoning).
2 decision making and attention to high-level reasoning.
3 ection over another could improve scientific reasoning.
4 between implicit and explicit psychological reasoning.
5 lculation skills and conceptual mathematical reasoning.
6 evel of abstraction comparable to analogical reasoning.
7 der cortical areas associated with affective reasoning.
8 se ontologies relies on the use of automated reasoning.
9 broad algorithmic facets, namely model-based reasoning.
10 ted view and multiple inferred views through reasoning.
11 rtical activity associated with false-belief reasoning.
12 to reverse engineer artefacts through causal reasoning.
13 nk about another's perspective, and physical reasoning.
14 involved in moral judgment and mental-state reasoning.
15 rehension, humour, theory of mind and social reasoning.
16 elopment supports improvements in relational reasoning.
17 s differences in the capacity for relational reasoning.
18 b site to facilitate browsing, searching and reasoning.
19 d developed beliefs, constructed by System 2 reasoning.
20 alism as unwise or childish aspects of human reasoning.
21 that values can be excluded from scientific reasoning.
22 tool that is closer to an automated medical reasoning.
23 ork to the default mode network during moral reasoning.
24 investigated without the confound of verbal reasoning.
25 sly proposed 'dual-process' account of moral reasoning.
26 des of the default mode network during moral reasoning.
27 People vary considerably in moral reasoning.
28 ks involving empathetic responses and belief reasoning.
29 64 participants at different levels of moral reasoning.
30 traditionally measured with tests of complex reasoning.
31 to -0.00; p=0.046), a 29% faster decline in reasoning (-0.10 SD, -0.19 to -0.01; p=0.026), and a 24%
32 es of 31% (s.e.m.=1.8%) for verbal-numerical reasoning, 5% (s.e.m.=0.6%) for memory, 11% (s.e.m.=0.6%
33 d between schizophrenia and verbal-numerical reasoning, 6 loci shared between schizophrenia and react
34 the brain operates with abstract conceptual reasoning, a faculty often assumed to be reserved to hig
37 humans and learning bots, to investigate how reasoning abilities, social learning mechanisms and popu
39 o a positive concurrent relationship between reasoning ability and both frontoparietal structural con
40 recent research demonstrates a link between reasoning ability and FC of two brain regions in particu
42 ctivation (functional connectivity, FC), and reasoning ability in a large longitudinal sample of subj
45 ood predicts future increases in both FC and reasoning ability, demonstrating the importance of white
47 quent development of both robust FC and good reasoning ability.SIGNIFICANCE STATEMENT The human capac
48 thinking about food that incorporates social reasoning about agents and their relationships, and allo
49 e capacity for mental state reasoning (i.e., reasoning about beliefs and intentions), which is suppor
50 tive study aimed to elucidate older people's reasoning about drinking in later life and how this inte
58 lops throughout childhood and contributes to reasoning about other people's beliefs, including their
60 tively, these studies differentiate explicit reasoning about possibilities from default implicit repr
63 hat humans have an early-emerging system for reasoning about the social nature of food selection.
64 unction in everyday situations is to support reasoning about the thoughts and intentions of conspecif
66 roticism, schizophrenia and verbal-numerical reasoning (absolute rg effect sizes between 0.02 and 0.7
68 ing similarities and differences in inherent reasoning across social and nonsocial domains can help u
70 bination of mathematical theory and physical reasoning allows us not only to determine the control ef
72 rate memories forms the basis of inferential reasoning--an essential cognitive process that enables c
74 is known, however, about the actual flow of reasoning and behaviors (sense making) that scientists e
75 sts for executive function, language, verbal reasoning and concept formation, and working, immediate,
77 swer synthetic questions designed to emulate reasoning and inference problems in natural language.
79 ajor benefits of using Bayesian networks for reasoning and making inferences in evidence-based policy
80 nature of both the is-ought tension in moral reasoning and moral reasoning per se, and (b) does not r
84 itive battery (MCCB), especially focusing on reasoning and problem solving, and social cognition in s
86 ad more cognitive impairment than females on reasoning and problem solving, social cognition, process
87 heses that link human intelligence to social reasoning and reproductive pressures and explains how hu
89 uture genetic studies (for example, language reasoning and spatial reasoning, r(g)=0.72, P=0.007).
91 be difficult because of the complex logical reasoning and the need of biological knowledge that are
92 t thinking plays in the development of human reasoning and the process by which more elaborate essent
94 score (95% CI, -3.14 to -1.01) in perceptual reasoning, and a 1.26-point lower score (95% CI, -2.38 t
95 ence from research on intolerance, motivated reasoning, and basic psychological threats that suggest
96 levant criteria-understanding, appreciation, reasoning, and choice-were used to establish the referen
98 d protocol), mark findings relevant to their reasoning, and diagnose each image (plus vs pre-plus vs
99 s are explicitly tracked through the line of reasoning, and introduce a probabilistic calculator call
102 eas implicated in empathic processing, moral reasoning, and processing of prosocial emotions such as
104 ilities in language acquisition and abstract reasoning, and that exposure to two or more anesthetics
105 nction, processing speed, memory, perceptual reasoning, and verbal comprehension in adolescence and a
106 s can also support sophisticated queries and reasoning, and will provide curated, directional links b
108 hts leads us to conjecture that very similar reasoning applies to more conventional neural networks.
110 ssipation has been used to give an energetic reasoning as to the behaviour seen with respect to alumi
111 omains of reaction time and verbal-numerical reasoning, as well as general cognitive function, a phen
112 e planning, and explicit "system 2" forms of reasoning, as well as overlapping heavily with fluid gen
115 nteraction was probed in terms of analogical reasoning based on the Rashba effect and density functio
116 e by tracking the development of conditional reasoning behavior in students studying post-compulsory
117 es in results highlight how the variation in reasoning behind food challenge alters the outcome.
120 In this Viewpoint we explain the scientific reasoning behind the trial, while stressing the importan
122 sted in the species generality of analogical reasoning, but they initially found it difficult to obta
124 erithacus) abilities for visual inferential reasoning by exclusion were tested in two experiments.
125 rates excellent generalization and occlusion-reasoning capabilities and outperforms deep neural netwo
126 n individual is probably stronger, of higher reasoning capacity, and more resistant to disease than e
127 brain-network topology, whereas increases in reasoning complexity resulted in merging of resting-stat
128 executive function, language, memory, verbal reasoning/concept formation, and attention) were perform
129 ein, several authors have proposed their own reasoning, concluding that a moving body could appear co
130 reasing psychosis RPS and reduced IQ (matrix reasoning: corrected P = .003 for RPS model 2, 0.4% vari
133 in that, whereas language clearly influences reasoning, decision making, and memory, it does not infl
134 lores this question by reviewing research in reasoning, decision making, various forms of judgment, a
135 h cognitive functions that include planning, reasoning, decision-making, working memory, and communic
136 increase the risk for language and abstract reasoning deficits later in life, though residual data c
137 reconfigurations associated with increasing reasoning demands are integrated within a stable intrins
141 IGNIFICANCE STATEMENT The human capacity for reasoning develops substantially during childhood and ha
148 method based on knowledge representation and reasoning for eliciting physiological communication rout
149 ith activity in RTPJ can impair mental state reasoning for moral judgment and that high-functioning i
150 city of the test result; and 3) the clinical reasoning for ordering and the proper clinical context f
151 ynamically generated using a novel abductive reasoning framework called a basic framework for abducti
153 nceptual and empirical studies of scientific reasoning have shown that it is unrealistic to prevent p
154 nts depends on the capacity for mental state reasoning (i.e., reasoning about beliefs and intentions)
155 ew will not follow such traditional lines of reasoning, i.e., to discuss how the well-identified prom
156 t cognitive load does not impair model-based reasoning if subjects receive prior training on the task
157 der cognitive functions, including planning, reasoning, impulse-control, and making decisions based o
158 e most convincing evidence yet of analogical reasoning in a nonprimate species, as apes alone have sp
161 twork interactions underlying abnormal moral reasoning in frontotemporal dementia, which may serve as
166 are then addressed: abstraction, deduction, reasoning in well-structured and ill-structured problem
168 rolled in an LSAT course that offers 70 h of reasoning instruction (n = 25), and age- and IQ-matched
169 it processing, which is central to means-end reasoning involved in leadership and to the construction
171 gest that high-level post-conventional moral reasoning is associated with increased activity in the b
174 it has recently been shown that model-based reasoning is impaired by placing subjects under cognitiv
176 ever, the ontogenic development of strategic reasoning is not well understood: At what age do we show
179 the highest level of post-conventional moral reasoning judge moral issues based on deeper principles
182 ltiple domains, including memory, attention, reasoning, learning, and verbal and math abilities, with
184 However, it remains unknown whether moral reasoning level is associated with differences in reward
185 the brain mechanisms involved in diagnostic reasoning may contribute to the development of methods t
186 rstood as using knowledge representation and reasoning methods to propose concrete candidate routes c
187 tivation- and patient-based studies of moral reasoning might reflect a modulatory role for the salien
188 iverse kinds of high-level judgments: causal reasoning, moral judgment, language comprehension, and m
189 ach to teaching programming and quantitative reasoning motivates students' engagement by demonstratin
190 , 34486; controls, 45271]); verbal-numerical reasoning (n = 36035) and reaction time (n = 111483) in
191 analyses were performed for verbal-numerical reasoning (N=36 035), memory (N=112 067), reaction time
195 cy makers by capturing much of the depth and reasoning of small-group deliberations while meeting sta
199 patients and normal individuals using global reasoning on the RN causality to identify key-nodes.
200 great apes and 3-year-old humans' relational reasoning on the same spatial mapping task, with and wit
201 meworks that define core knowledge types and reasoning operations with particular emphasis on the app
204 easoning, such as physical and psychological reasoning, or whether from a young age children endow an
206 a integration and development and for formal reasoning over a wealth of integrated biomedical data.
207 exploits semantic technologies and automated reasoning over genotype-phenotype relations to filter an
209 present fMRI findings from a novel deductive reasoning paradigm that controls for general difficulty
210 s-ought tension in moral reasoning and moral reasoning per se, and (b) does not reflect the complexit
211 networks is integral to achieving successful reasoning performance across different levels of cogniti
215 conventional and conventional level of moral reasoning, post-conventional individuals showed increase
217 ch including a strong tradition in deductive reasoning primarily derived from discovery focused molec
219 this proposal, we modify traditional matrix reasoning problems to minimize requirements on informati
223 tirely different purpose-learning relational reasoning-processes sentences, represents their meaning,
224 SUVR x time interaction) on episodic memory, reasoning, processing speed, vocabulary, and Mini-Mental
225 (IQ, Q = 0.008; Vocabulary Q = 0.011; Matrix Reasoning Q = 0.008), SLCO2A1 (IQ Q = 0.043; Digit Span
226 rehension (r = -0.340; P = .008), perceptual reasoning (r = -0.419; P = .001), and processing speed (
228 ors often make their decision based on moral reasoning rather than balancing risks and benefits, prov
229 ent a detailed description of Reverse Causal Reasoning (RCR), a reverse engineering methodology to in
231 n trail-making measures and verbal-numerical reasoning (rg>0.6), general cognitive function (rg>0.6),
233 nce heuristic, though perhaps vital in adult reasoning, seems an implausible candidate for the develo
235 elations between brain regions implicated in reasoning showed that fronto-parietal connections were s
236 haviors should be reconsidered: Evolutionary reasoning shows how we can have cognitively driven behav
237 Medical researchers followed this line of reasoning since the 1990s, emphasizing the significance
239 s associated with the development of logical reasoning skills, but that the nature of this developmen
240 me, we demonstrated with detailed scientific reasoning, solid historical data, and convincing justifi
242 cal reasoning develops from earlier forms of reasoning, such as physical and psychological reasoning,
244 of the best studied use of ToM--false-belief reasoning--suggest that it relies on a specific cortical
246 f desires, goals, and agency in our earliest reasoning suggests an alternative, perhaps complementary
247 hat brain regions selective for mental state reasoning support relatively subtle distinctions between
249 tructured interviews, and the product choice reasoning task - were used with 32 patients that had a c
250 resting-state scan, followed by a cognitive reasoning task involving different levels of complexity,
253 g that young humans often fail at relational reasoning tasks because they focus on objects instead of
254 (GB) to performance in visuomotor and visual reasoning tasks in two cohorts with cognitive follow-up
255 nce performance in novel shortcut or spatial reasoning tasks independent of accuracy levels, systemat
256 flow of processing may emerge within PFC in reasoning tasks with minimal top-down deductive requirem
257 as associated with lower reading and spatial reasoning test scores (beta, -0.69; 95% confidence inter
258 nd executive functioning (scores on a matrix reasoning test) in 64 patients with chronic left hemisph
261 ppreciative structure they posit (the causal reasoning that allegedly underlies the design stance and
262 [-0.22 to -0.01]; p=0.034) and a decline in reasoning that approached significance (-0.07 [-0.15 to
263 ects of human mental models and common-sense reasoning that are instrumental to how humans understand
269 chain saturated or unsaturated fatty acids, reasoning that providing an abundance of dietary lipid w
270 the chemokine RANTES and the cytokine IL15, reasoning that the modified oncolytic virus will both ha
272 lele and one null allele at the Tgfb1 locus, reasoning that these mice should synthesize half the tot
273 s the LpoB requirement for in vivo function, reasoning that they would shed light on LpoB function an
278 y the classic experiment substantiating this reasoning-the blocking paradigm-in combination with func
279 work, we identify three hallmarks of causal reasoning-the role of mechanism, narrative, and mental s
281 atics students did develop their conditional reasoning to a greater extent than the literature studen
284 it an engineering field primed for inductive reasoning to complement the dominating deductive traditi
286 l of the chemicals are available to semantic reasoning tools that harness the classification hierarch
289 d decrements in Processing Speed, Perceptual Reasoning, Verbal Comprehension, and Full-Scale IQ.
294 uantitative kinetic modeling, for biological reasoning, when comparing novel data with established kn
295 sentation using symbolic logic and automated reasoning, with neural networks to generate embeddings o
296 indexes of Verbal Comprehension, Perceptual Reasoning, Working Memory, and Processing Speed (seconda
297 cale IQ and Verbal Comprehension, Perceptual Reasoning, Working Memory, and Processing Speed Indices.
298 s (verbal comprehension, perceptual [visual] reasoning, working memory, and processing speed) were th
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