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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
35                                  In physical reasoning, a model can be a set of constraints rather th
36                        We found that humans' reasoning abilities play an important role in the produc
37 humans and learning bots, to investigate how reasoning abilities, social learning mechanisms and popu
38 ernal psychological adjustment, and maternal reasoning abilities.
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
41                                              Reasoning ability depends on communication between later
42 ctivation (functional connectivity, FC), and reasoning ability in a large longitudinal sample of subj
43 lationships among frontoparietal SC, FC, and reasoning ability in humans.
44                           Cross-sectionally, reasoning ability was most strongly related to FC betwee
45 ood predicts future increases in both FC and reasoning ability, demonstrating the importance of white
46 as a positive predictor of future changes in reasoning ability.
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
51                       Specifically, infants' reasoning about food choice is tied to their thinking ab
52           Additionally, infants' systems for reasoning about food is differentially responsive to pos
53                        Importantly, infants' reasoning about food preferences is flexibly calibrated
54                                     Infants' reasoning about food preferences is fundamentally social
55 f individuals' decisions, even when they are reasoning about high-level, moral issues.
56 y of mind (SToM) integrating ToM and RT with reasoning about incentives of all players.
57         Human strategic interaction requires reasoning about other people's behavior and mental state
58 lops throughout childhood and contributes to reasoning about other people's beliefs, including their
59 resent in infancy that support sophisticated reasoning about perceptual properties of food.
60 tively, these studies differentiate explicit reasoning about possibilities from default implicit repr
61                      As they age, children's reasoning about testimony increasingly reflects an abili
62  cognitive abilities necessary for recursive reasoning about the behaviors of others.
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
65 ondition also showed much more sophisticated reasoning about their data.
66 roticism, schizophrenia and verbal-numerical reasoning (absolute rg effect sizes between 0.02 and 0.7
67 hed task modules were associated with higher reasoning accuracy.
68 ing similarities and differences in inherent reasoning across social and nonsocial domains can help u
69        A rule-based classification model and reasoning algorithm of APN are created for ECG arrhythmi
70 bination of mathematical theory and physical reasoning allows us not only to determine the control ef
71                                        Their reasoning also reproduces Malthus's blindness to the imp
72 rate memories forms the basis of inferential reasoning--an essential cognitive process that enables c
73            Data were analyzed using Bayesian reasoning and a Markov chain Monte Carlo method with a s
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,
76 t upon contemporary dual-process theories of reasoning and decision making.
77 swer synthetic questions designed to emulate reasoning and inference problems in natural language.
78  memory tasks and generalization to tasks of reasoning and inhibition.
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
81 rs that these inferences are based on flawed reasoning and obscured by model mimicry.
82 igher-order relational thinking required for reasoning and other forms of abstract thought.
83             Male healthy controls had better reasoning and problem solving and working memory than fe
84 itive battery (MCCB), especially focusing on reasoning and problem solving, and social cognition in s
85              However, RBANS does not include reasoning and problem solving, and social cognition.
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
88                                         Risk reasoning and risk management behaviours were often cont
89 uture genetic studies (for example, language reasoning and spatial reasoning, r(g)=0.72, P=0.007).
90                                          The reasoning and techniques presented here will enable disc
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
93 ieval relative to closely matched analogical reasoning and visuospatial perception tasks.
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
97 understanding of diagnostic errors, clinical reasoning, and cognitive biases.
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
100 ething that is important for memory, spatial reasoning, and many other tasks.
101 erent implications for dehumanization, moral reasoning, and other important social phenomena.
102 eas implicated in empathic processing, moral reasoning, and processing of prosocial emotions such as
103 ms involved in belief maintenance, motivated reasoning, and related phenomena.
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
107                                           TW reasoning applies to both parents, not just the mother.
108 hts leads us to conjecture that very similar reasoning applies to more conventional neural networks.
109                                    Inductive reasoning as commonly used in computer science has prove
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
113  at both 2 and 5 years, as well as to visual reasoning at 5 years of age.
114                                          The reasoning, avoiding any underlying physical model, is su
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.
118                                          The reasoning behind how M. avium subsp. hominissuis biofilm
119 ow NSyL extends existing frameworks, and the reasoning behind NSyL's development.
120  In this Viewpoint we explain the scientific reasoning behind the trial, while stressing the importan
121 is with host trees, although the mechanistic reasoning behind this role was unknown.
122 sted in the species generality of analogical reasoning, but they initially found it difficult to obta
123                                              Reasoning by analogy, 25% of (11)C-CUMI-101 uptake in hu
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
131                                         This reasoning correlates with the major conformation of the
132                                      By this reasoning, correlation should be strongest for materials
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
138                      We found that increased reasoning demands rely on selective patterns of connecti
139               At issue is whether biological reasoning develops from earlier forms of reasoning, such
140 on specific interactions with objects, or if reasoning develops independently.
141 IGNIFICANCE STATEMENT The human capacity for reasoning develops substantially during childhood and ha
142 process by which more elaborate essentialist reasoning develops.
143                                          The reasoning differs somewhat from the case of positively c
144 imaging and the patient developed increasing reasoning difficulty, apathy, and disinhibition.
145                                  By the same reasoning, dioxygenase inhibition by FQ was predicted to
146                                The Memory or Reasoning Enhanced Low Vision Rehabilitation (MORE-LVR)
147                   The two evidences give the reasoning for adopting knowledge-based deep learning met
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
152            Our capacity for higher cognitive reasoning has a measurable limit.
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
159 rence handles recognition, segmentation, and reasoning in a unified way.
160            The ability to deploy model-based reasoning in an automatic, parallelizable fashion has wi
161 twork interactions underlying abnormal moral reasoning in frontotemporal dementia, which may serve as
162  task familiarity permits use of model-based reasoning in parallel with other cognitive demands.
163 objects, it could undermine their relational reasoning in similar ways.
164 R) make a strong case for the role of causal reasoning in the appreciation of artwork.
165        The prefrontal cortex (PFC) subserves reasoning in the service of adaptive behavior.
166  are then addressed: abstraction, deduction, reasoning in well-structured and ill-structured problem
167                                   Perceptual reasoning index and working memory did not change signif
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
170                                   Relational reasoning is a hallmark of sophisticated cognition in hu
171 gest that high-level post-conventional moral reasoning is associated with increased activity in the b
172                            The thermodynamic reasoning is demonstrated to ensure that the derived sig
173 ligence, including the idea that model-based reasoning is essential.
174  it has recently been shown that model-based reasoning is impaired by placing subjects under cognitiv
175                                        Moral reasoning is impaired in both conditions but there have
176 ever, the ontogenic development of strategic reasoning is not well understood: At what age do we show
177                                        Human reasoning is richer than Lake et al. acknowledge, and th
178                                   Analogical reasoning is vital to advanced cognition and behavioral
179 the highest level of post-conventional moral reasoning judge moral issues based on deeper principles
180 rrective feedback, including analysis of the reasoning leading up to the mistake, is crucial.
181 orld: perception, attention, categorization, reasoning, learning, and memory.
182 ltiple domains, including memory, attention, reasoning, learning, and verbal and math abilities, with
183 r new features of attention, categorization, reasoning, learning, emotion, and motivation.
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
192                    The hypothesis that human reasoning obeys the laws of quantum rather than classica
193 o psychopathology and, in particular, to the reasoning of delusional subjects.
194                                          The reasoning of Duarte et al. hinges on the basic premise t
195 cy makers by capturing much of the depth and reasoning of small-group deliberations while meeting sta
196 a python package implementing a workflow for reasoning on logical networks families.
197                                     Informed reasoning on nitisinone (NTBC, 14), a triketone that fai
198 nd proteomic landscape, allowing intelligent reasoning on target selection.
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
202 ring this ambiguity can lead to inconsistent reasoning or wayward conclusions.
203 ormation on the bases of informant accuracy, reasoning, or coherence.
204 easoning, such as physical and psychological reasoning, or whether from a young age children endow an
205 he first evidence for spontaneous analogical reasoning outside of the primate order.
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
208            The capacity for representing and reasoning over sets of possibilities, or modal cognition
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
212 al State Examination performance, but not in reasoning performance.
213                             Tests of memory, reasoning, phonemic and semantic fluency, and a global s
214 n provides a plausible route for making such reasoning possible.
215 conventional and conventional level of moral reasoning, post-conventional individuals showed increase
216  may influence which aspects of essentialist reasoning precede inferring an essence.
217 ch including a strong tradition in deductive reasoning primarily derived from discovery focused molec
218 ng memory, verbal memory, visual memory, and reasoning/problem solving) cognitive tasks.
219  this proposal, we modify traditional matrix reasoning problems to minimize requirements on informati
220 ear limits in their ability to solve complex reasoning problems.
221                      Experts differ in their reasoning process, retinal features that they focus on,
222 is known, however, about the architecture of reasoning processes in the PFC.
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 (
227 (for example, language reasoning and spatial reasoning, r(g)=0.72, P=0.007).
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
230                        We propose that human reasoning relies on an inherence heuristic, an implicit
231 n trail-making measures and verbal-numerical reasoning (rg>0.6), general cognitive function (rg>0.6),
232 termined by their Leiter-R Visualization and Reasoning scores.
233 nce heuristic, though perhaps vital in adult reasoning, seems an implausible candidate for the develo
234 ed the Aber-OWL infrastructure that provides reasoning services for bio-ontologies.
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
238           Here we propose that the versatile reasoning skills observed in humans can be traced back t
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
241                                 Charting the reasoning staff provided for technique selection against
242 cal reasoning develops from earlier forms of reasoning, such as physical and psychological reasoning,
243                             Several lines of reasoning suggest that LBDs are semiclosed in the channe
244 of the best studied use of ToM--false-belief reasoning--suggest that it relies on a specific cortical
245                                         This reasoning suggests a powerful, but largely unexplored, a
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
248                                      Using a reasoning system, GPCR ontology offers potential for kno
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,
251                                          The reasoning task required participants to deduce the ident
252 human subjects performed a novel non-spatial reasoning task.
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
259                                              Reasoning that a large number of erythrocytes become apo
260                                              Reasoning that activation of the epidermal growth factor
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
264                                              Reasoning that AZA might selectively augment a GVL effec
265                                              Reasoning that balsams, essential oils, or incense mater
266                                              Reasoning that IL-1beta might be involved in a like auto
267                                              Reasoning that insulinomas hold the "genomic recipe" for
268                                          The reasoning that neural reflexes maintain homeostasis in o
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
271                                              Reasoning that the same achievement could be accomplishe
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
274                                              Reasoning that this homeostatic challenge confronts all
275                                              Reasoning that this lack of clinical specificity might r
276                                              Reasoning the idea that functional splicing elements hav
277 test that places heavy demands on relational reasoning, the Law School Admissions Test (LSAT).
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
280  the decision by reflecting on a process and reasoning through risks and benefits.
281 atics students did develop their conditional reasoning to a greater extent than the literature studen
282 r internal statistics but relies on Bayesian reasoning to assess dataset relevance.
283                           We then extend our reasoning to chart the biological underpinnings of proso
284 it an engineering field primed for inductive reasoning to complement the dominating deductive traditi
285                     By applying this line of reasoning to direct glycosylation with a traditional thi
286 l of the chemicals are available to semantic reasoning tools that harness the classification hierarch
287          We sought to test whether intensive reasoning training in humans would result in tighter cou
288                                    With this reasoning, unmeasured protein states can be inferred, an
289 d decrements in Processing Speed, Perceptual Reasoning, Verbal Comprehension, and Full-Scale IQ.
290                                         This reasoning was confirmed using a model compound, 1-(2-ami
291                     In agreement with Bohr's reasoning we show that quantum coherence prevails, even
292                                Based on this reasoning, we posed the hypothesis that silencing, or re
293                            Critical clinical reasoning when deciding on ICD implantation in ACHD pati
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
299                               Reverse Causal Reasoning yields mechanistic insights to the interpretat
300 4.43; P = 9.42 x 10-6), and verbal-numerical reasoning (z score, -5.43; P = 5.64 x 10-8).

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