ライフサイエンスコーパス: reasoning

1 nts on the basis of clinical and statistical reasoning.

2 n effect on executive functioning and verbal reasoning.

3 malaria would benefit from the use of causal reasoning.

4 ter moral questions promise to improve moral reasoning.

5 esigns, inappropriate analyses and/or flawed reasoning.

6 city for higher-order, role-based relational reasoning.

7 as measured using tests of reaction time and reasoning.

8 ing relational generalization and analogical reasoning.

9 that saving tools does not require temporal reasoning.

10 o substantially influence moral judgment and reasoning.

11 ve processes involved in learning and social reasoning.

12 sing both empirical examples and theoretical reasoning.

13 matically varied the complexity of cognitive reasoning.

14 poral updating and cannot engage in temporal reasoning.

15 nalogously to temporal updating and temporal reasoning.

16 self-contradiction were applied to abstract reasoning.

17 s; useful, because it can improve subsequent reasoning.

18 tests of verbal memory, verbal fluency, and reasoning.

19 e, given the possibility of motivated causal reasoning.

20 People vary considerably in moral reasoning.

21 ks involving empathetic responses and belief reasoning.

22 64 participants at different levels of moral reasoning.

23 traditionally measured with tests of complex reasoning.

24 tion of habitual behavior can improve future reasoning.

25 ance with task requirements of visuo-spatial reasoning.

26 if ever - rationalizing habits would improve reasoning.

27 tional method to quantify and dissect visual reasoning.

28 problems are deficits in working memory and reasoning.

29 deficits in visual-spatial, but not verbal, reasoning.

30 emical assumptions that guided participants' reasoning.

31 the gap progressively worsening in planning/reasoning.

32 d during updating differ from those used for reasoning?

33 relation to the later-developing verbal ToM reasoning?

34 d between schizophrenia and verbal-numerical reasoning, 6 loci shared between schizophrenia and react

35 In physical reasoning, a model can be a set of constraints rather th

36 l deficits relative to verbal and non-verbal reasoning abilities and hypersocial personality.

37 chnologies resulted from our superior causal reasoning abilities(5-7).

38 o a positive concurrent relationship between reasoning ability and both frontoparietal structural con

39 recent research demonstrates a link between reasoning ability and FC of two brain regions in particu

40 Reasoning ability depends on communication between later

41 ctivation (functional connectivity, FC), and reasoning ability in a large longitudinal sample of subj

42 lationships among frontoparietal SC, FC, and reasoning ability in humans.

43 Cross-sectionally, reasoning ability was most strongly related to FC betwee

44 Deficits in language and reasoning ability, as well as in volumes of associated r

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 ticipants first engaged in veil-of-ignorance reasoning about a specific dilemma, asking themselves wh

49 nological culture (CTC) and the evolution of reasoning about abstract forces.

50 y to track agent belief was intact and their reasoning about belief and intentions was rational.

51 Participants were flexible in their reasoning about kinds.

52 same neural machinery is also recruited for reasoning about more abstract, conceptual forms of knowl

53 buting beliefs to specific agents is core to reasoning about other people and imagining oneself in di

54 neural dissociation suggests two systems for reasoning about others' minds-mature verbal ToM that eme

55 There is a moral logic to reasoning about political violence.

56 tively, these studies differentiate explicit reasoning about possibilities from default implicit repr

57 As they age, children's reasoning about testimony increasingly reflects an abili

58 raisal of reinforced actions and prospective reasoning about the consequences of actions.

59 Reasoning about the factors underlying habitat connectiv

60 Cormack argue that children are incapable of reasoning about time until age 5.

61 roticism, schizophrenia and verbal-numerical reasoning (absolute rg effect sizes between 0.02 and 0.7

62 hed task modules were associated with higher reasoning accuracy.

63 ncrementality and efficiency guide pragmatic reasoning across languages, with different word orders h

64 he distinction between temporal updating and reasoning advocated by Hoerl & McCormack.

65 ich children acquire a capacity for temporal reasoning and about the relation between our account and

66 er people's testimony, and its deployment in reasoning and action requires accuracy underwritten by o

67 artial thinking induced by veil-of-ignorance reasoning and cannot be explained by anchoring, probabil

68 e also used to measure participants' memory, reasoning and concentration abilities.

69 linicians' ability to express their clinical reasoning and decipher the reasoning of colleagues.

70 not insurmountable, tensions call for causal reasoning and effect estimation in social epidemiology t

71 to draw reliable conclusions that guide our reasoning and learning.

72 t time windows in a way that is essential to reasoning and learning.

73 rs that these inferences are based on flawed reasoning and obscured by model mimicry.

74 , placebo) interaction was observed for MCCB reasoning and problem solving and UPSA total score; the

75 Male healthy controls had better reasoning and problem solving and working memory than fe

76 ioning, MATRICS processing speed and MATRICS reasoning and problem solving relative to those with low

77 itive battery (MCCB), especially focusing on reasoning and problem solving, and social cognition in s

78 However, RBANS does not include reasoning and problem solving, and social cognition.

79 ed statistically significant improvements in reasoning and problem solving, as well as in functional

80 ad more cognitive impairment than females on reasoning and problem solving, social cognition, process

81 outline links between social and individual reasoning and set recent developments in the psychology

82 y account of the interplay between technical reasoning and social learning, with language emerging as

83 as to whether our dichotomy between temporal reasoning and temporal updating is exhaustive, or whethe

84 Impaired probabilistic reasoning and the jumping-to-conclusions reasoning bias

85 ieval relative to closely matched analogical reasoning and visuospatial perception tasks.

86 analysis of behavioural scores confirm that reasoning and working memory form distinct components of

87 Across outcome variables, fluid reasoning and working-memory capacity explained 34% of t

88 score (95% CI, -3.14 to -1.01) in perceptual reasoning, and a 1.26-point lower score (95% CI, -2.38 t

89 nitive domains such as memory and perceptual reasoning, and act as intermediate biomarkers of disease

90 FC) also involved in exploration, relational reasoning, and counterfactual choice, rather than on dor

91 ething that is important for memory, spatial reasoning, and many other tasks.

92 nvolved in cognitive processes like thought, reasoning, and memory or is it based in sensory areas in

93 erent implications for dehumanization, moral reasoning, and other important social phenomena.

94 ontological commitments, causal-explanatory reasoning, and unobservable constructs.

95 nction, processing speed, memory, perceptual reasoning, and verbal comprehension in adolescence and a

96 lobal intelligence quotient (IQ), perceptual reasoning, and working memory compared with the XRT grou

97 eficits in grammatical reasoning, arithmetic reasoning, and working memory in BP1-BP2 deletion carrie

98 allenge, based on a logic representation and reasoning approach that utilizes the language of Region

99 es revealed profound deficits in grammatical reasoning, arithmetic reasoning, and working memory in B

100 wo systems of temporal updating and temporal reasoning as a bifurcation and tracks it across three ti

101 ssipation has been used to give an energetic reasoning as to the behaviour seen with respect to alumi

102 the computational principles of hierarchical reasoning, as implemented by cortical circuits.

103 ponse, I elaborate on my conception of moral reasoning, as well as clarify the structure of debunking

104 omains of reaction time and verbal-numerical reasoning, as well as general cognitive function, a phen

105 nteraction was probed in terms of analogical reasoning based on the Rashba effect and density functio

106 nts employed two versions of a probabilistic reasoning (beads) task, which required participants to e

107 espiratory Effectiveness Group (REG), on the reasoning behind the use of different add-on medications

108 tic reasoning and the jumping-to-conclusions reasoning bias are hallmark features of schizophrenia (S

109 ologies need not result from enhanced causal reasoning but, instead, can emerge from the accumulation

110 s rationalization as the inverse of rational reasoning, but this distinction is psychologically quest

111 tionality may explain suboptimal patterns of reasoning; but what of "anti-Bayesian" effects where the

112 In a perfect world, independent reasoning by the forecasters combined with the analytic

113 ips between entities from which higher-level reasoning can be conducted.

114 Causal reasoning can shed new light on the major challenges in

115 and metacognition, in concert with technical reasoning, can help boost cumulative technological cultu

116 rates excellent generalization and occlusion-reasoning capabilities and outperforms deep neural netwo

117 cal concerns about O&R's notion of technical-reasoning capacities, and suggests how these concerns mi

118 y neglected the importance of uniquely human reasoning capacities.

119 nalysis revealed three domains: language and reasoning, cognitive flexibility and memory recall.

120 brain-network topology, whereas increases in reasoning complexity resulted in merging of resting-stat

121 ein, several authors have proposed their own reasoning, concluding that a moving body could appear co

122 goals demonstrating technological skills and reasoning contradicting the authors contrast.

123 This reasoning correlates with the major conformation of the

124 By this reasoning, correlation should be strongest for materials

125 ency in the precuneus and nonverbal abstract reasoning deficits (calculated using actual pre-injury s

126 reconfigurations associated with increasing reasoning demands are integrated within a stable intrins

127 We found that increased reasoning demands rely on selective patterns of connecti

128 le methodologies and examining how technical-reasoning develops in children will provide crucial supp

129 IGNIFICANCE STATEMENT The human capacity for reasoning develops substantially during childhood and ha

130 The "veil of ignorance" is a moral reasoning device designed to promote impartial decision

131 The reasoning differs somewhat from the case of positively c

132 These results suggest that allocentric reasoning does not conform to normative Bayesian models:

133 te associated with compromised probabilistic reasoning due to reduced glutamatergic neurotransmission

134 Our reasoning evolves from previous biochemical and cell bio

135 how such models, when coupled with automated reasoning, facilitate our understanding of the mechanism

136 reregistered, we find that veil-of-ignorance reasoning favors the greater good.

137 The two evidences give the reasoning for adopting knowledge-based deep learning met

138 has arisen, which focuses on knowledge-rich reasoning for communication and persuasion and is typica

139 In particular, we present a plausible reasoning for the abundant formation of gas bubbles on i

140 e changes of suitably labeled receptors, and reasoning from these data to the ligand binding.

141 ggest that, early in life, preverbal logical reasoning functions as a reliable source of evidence tha

142 Our capacity for higher cognitive reasoning has a measurable limit.

143 Coherence-based reasoning highlights a subtler form of bidirectionality:

144 to these concerns, discuss why the technical-reasoning hypothesis does not minimize the role of socia

145 leave it unclear exactly what the technical-reasoning hypothesis encompasses.

146 ue that Osirak's and Reynaud's technological-reasoning hypothesis raises conceptual and methodologica

147 By the technical-reasoning hypothesis, cognitively-impaired individuals w

148 Here, we apply veil-of-ignorance reasoning in a more focused way to specific moral dilemm

149 rence handles recognition, segmentation, and reasoning in a unified way.

150 sion on the role of what they term technical reasoning in cumulative culture, we argue that they negl

151 ulation-based training transforms diagnostic reasoning in novices from regions implicated in creative

152 -oriented objects may help identify temporal reasoning in populations where this ability is uncertain

153 ng to conclusions and impaired probabilistic reasoning in SCZ.

154 set recent developments in the psychology of reasoning in the wider context of Bayesian cognitive sci

155 This entails reasoning in time and about time.

156 are then addressed: abstraction, deduction, reasoning in well-structured and ill-structured problem

157 Nonverbal ToM reasoning, in contrast, was supported by the cortical st

158 for inferring value in tests of model-based reasoning, including in sensory preconditioning.

159 ontemporaneous performance on the Perceptual Reasoning Index and with future generalized anxiety symp

160 and cannabis use, recall memory, perceptual reasoning, inhibition, and working memory, using school-

161 The psychology of verbal reasoning initially compared performance with classical

162 Moral reasoning is a species of such reasoning, so it is a mat

163 Our results show that causal reasoning is a vital missing ingredient for applying mac

164 gest that high-level post-conventional moral reasoning is associated with increased activity in the b

165 May provides a compelling case that reasoning is central to moral psychology.

166 Visual reasoning is critical in many complex visual tasks in me

167 reviews evidence showing that technological reasoning is crucial to cumulative technological culture

168 hierarchical models of working memory, where reasoning is dependent on the ability to first hold task

169 evelopmental data suggesting that children's reasoning is differentially affected by the dimension wh

170 the shift from temporal updating to temporal reasoning is enabled by children's expanding representat

171 ligence, including the idea that model-based reasoning is essential.

172 Handling uncertainty reasoning is important in researching ontology.

173 We argue that technical reasoning is not quite the magic bullet that O&R assume,

174 In contrast, reasoning is pervasive in human decision making.

175 investigate whether this function of logical reasoning is present in infancy and aid understanding an

176 Reasoning is the iterative, path-dependent process of as

177 options to justify the thesis that temporal reasoning is uniquely human, one based on considerations

178 stigate how this process, known as pragmatic reasoning, is guided by two universal forces in human co

179 y criticism of May's fantastic book on moral reasoning: It is overly charitable to the argument that

180 the highest level of post-conventional moral reasoning judge moral issues based on deeper principles

181 nia was consistently viewed as a disorder of reasoning/judgment manifest by total insanity and/or the

182 rrective feedback, including analysis of the reasoning leading up to the mistake, is crucial.

183 However, it remains unknown whether moral reasoning level is associated with differences in reward

184 hese questions in the domain of visuospatial reasoning, looking at a case study of how imagery-based

185 & McCormack discuss the benefits of temporal reasoning mainly with respect to future planning and dec

186 hese studies indicate that veil-of-ignorance reasoning may be a useful tool for decision makers who w

187 the brain mechanisms involved in diagnostic reasoning may contribute to the development of methods t

188 These results suggest that utility-based reasoning may play an important role in curating cultura

189 anzee in our task suggests that teleological reasoning might already have been present in our last co

190 rationalization - the traditional "motivated reasoning" model, and the proposed representational exch

191 iverse kinds of high-level judgments: causal reasoning, moral judgment, language comprehension, and m

192 , 34486; controls, 45271]); verbal-numerical reasoning (n = 36035) and reaction time (n = 111483) in

193 tion sampling and to disrupted probabilistic reasoning, namely to overweighting of sensory evidence,

194 ss their clinical reasoning and decipher the reasoning of colleagues.

195 a python package implementing a workflow for reasoning on logical networks families.

196 Informed reasoning on nitisinone (NTBC, 14), a triketone that fai

197 patients and normal individuals using global reasoning on the RN causality to identify key-nodes.

198 nciples through a process of coherence-based reasoning (operating at least partially below the level

199 imagery-based knowledge representations and reasoning operations, then what kinds of problem solving

200 not be explained by anchoring, probabilistic reasoning, or generic perspective taking.

201 We present Reasoning Over Biomedical Objects linked in Knowledge Or

202 The capacity for representing and reasoning over sets of possibilities, or modal cognition

203 The visual reasoning patterns are explainable and can be compared a

204 es and identifies common and contrast visual reasoning patterns to extract significant gaze activitie

205 networks is integral to achieving successful reasoning performance across different levels of cogniti

206 and would be associated with lower clinical reasoning performance scores.

207 ve load, and their association with clinical reasoning performance scores.

208 ption to the reasoning subnetwork relates to reasoning performance selectively.

209 ubnetwork relates to both working memory and reasoning performance whereas disruption to the reasonin

210 load and physiologic measures with clinical reasoning performance.

211 ognitive processing that may impact clinical reasoning performance.

212 al State Examination performance, but not in reasoning performance.

213 lie higher human cognitive functions such as reasoning, planning, and language.

214 e most impressive of human abilities: causal reasoning, planning, linguistic communication, moral jud

215 conventional and conventional level of moral reasoning, post-conventional individuals showed increase

216 ear limits in their ability to solve complex reasoning problems.

217 ht learn portions of their own knowledge and reasoning procedures from experience, including learning

218 It is challenging to explicitly explain reasoning processes due to the dynamic nature of real-ti

219 A deeper understanding of such reasoning processes is necessary for improving diagnosti

220 By revealing task-related reasoning processes, this method demonstrates potential

221 ences between expertise levels in the visual reasoning processes.

222 herefore limited in understanding the visual reasoning processes.

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 To highlight the role that reasoning quality plays in moral judgments, we review li

226 rehension (r = -0.340; P = .008), perceptual reasoning (r = -0.419; P = .001), and processing speed (

227 Within the constraints of reasoning, rationalization may operate in ambiguous situ

228 recombined, they are perceived as "technical reasoning," resulting in novel tools when executed.

229 n trail-making measures and verbal-numerical reasoning (rg>0.6), general cognitive function (rg>0.6),

230 Some of the foundations of Heyes' radical reasoning seem to be based on a fractional selection of

231 et, to what extent do spatial and conceptual reasoning share common computational principles, and wha

232 For example, in spatial reasoning, shortest-path inferences are immediate in new

233 ility is that accumulation of both technical-reasoning skills and enhanced social skills stemmed from

234 st to previous accounts foregrounding social-reasoning skills as key to CTC.

235 aud highlight the critical role of technical-reasoning skills in the emergence of human cumulative te

236 echnological culture originates in technical-reasoning skills is not the only alternative to social a

237 rning mechanisms - nor assume that technical-reasoning skills make individuals omniscient technically

238 To support their claim for technical reasoning skills rather than imitation as the key for cu

239 For cognition, core verbal and visuo-spatial reasoning skills were intact, whereas deficits were foun

240 on-social cognitive skills, namely technical-reasoning skills which enable humans to develop the tech

241 onsocial cognitive skills, namely, technical-reasoning skills, which allowed humans to constantly acq

242 Moral reasoning is a species of such reasoning, so it is a matter of asking and answering mor

243 we are optimistic about their source (i.e., reasoning), some pessimism is warranted about their cont

244 Charting the reasoning staff provided for technique selection against

245 To understand the neural basis of this reasoning strategy, we recorded from dorsomedial frontal

246 soning performance whereas disruption to the reasoning subnetwork relates to reasoning performance se

247 pants who first engaged in veil-of-ignorance reasoning subsequently made more utilitarian choices in

248 For the KABC-II planning/reasoning subtests, the HIV+ children showed less improv

249 ng; whereas, regions implicated in inductive reasoning (superior temporal and medial postcentral gyru

250 he temporal updating system and the temporal reasoning system - and suggest that they explain an inhe

251 im by Hoerl & McCormack is that the temporal reasoning system is uniquely human.

252 Hence, the evolution of the temporal reasoning system was not necessarily driven primarily by

253 The reasoning system would be disrupted by emotion, especial

254 w more about the sense in which the temporal reasoning system would represent time as a dimension.

255 ng system in the development of the temporal reasoning system.

256 provide the primary sources of the temporal reasoning system.

257 o evidence that they also possess a temporal reasoning system.

258 resting-state scan, followed by a cognitive reasoning task involving different levels of complexity,

259 The reasoning task required participants to deduce the ident

260 same approach extends naturally to inductive reasoning tasks, in which people extrapolate beyond the

261 are activated during our working memory and reasoning tasks, with a library of the white matter trac

262 t risk for performing poorly during clinical reasoning tasks.

263 people stray from logic when given deductive reasoning tasks.

264 when cognitive ability was assessed using a reasoning test.

265 Many decisions require flexible reasoning that depends on inference, generalization, and

266 The target article relies on Bayesian reasoning that encounter serious tractability problems.

267 Reasoning that genetic models can provide an orthogonal

268 Reasoning that insulinomas hold the "genomic recipe" for

269 Reasoning that mouse models could similarly offer import

270 ical polarization, and politically motivated reasoning that now prevail in the public sphere and offe

271 d phase separation based on cloud formation, reasoning that our familiar experiences with the readily

272 Reasoning that the computational advantage of such redun

273 and thus predict changes in vector fitness, reasoning that these approaches might inform the design

274 Reasoning that this homeostatic challenge confronts all

275 st that social life and the rich patterns of reasoning that underpin it are ethical through and throu

276 Second, are updating and reasoning the only two processes relevant to temporal th

277 first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role

278 By applying this line of reasoning to direct glycosylation with a traditional thi

279 n a potentially novel, antiimmunosuppressive reasoning to justify strategies using respiratory hypero

280 f mathematical models, derived from physical reasoning, to describe molecular and cellular systems ha

281 With this reasoning, unmeasured protein states can be inferred, an

282 manner similar to the hypothetico-deductive reasoning used by physicians and unearth associations th

283 ns in the neural underpinnings of diagnostic reasoning, using a simulation game named "Equine Virtual

284 g the Valence Aware Dictionary for sEntiment Reasoning (VADER), a validated natural language processi

285 Reasoning was invited (open-text comments).

286 Veil-of-ignorance reasoning was originally applied by philosophers and eco

287 We showed that verbal ToM reasoning was supported by cortical surface area and thi

288 Critical clinical reasoning when deciding on ICD implantation in ACHD pati

289 uantitative kinetic modeling, for biological reasoning, when comparing novel data with established kn

290 Our results support an account of physical reasoning where abstract physical variables serve as inp

291 putamen) in driving pre-training diagnostic reasoning; whereas, regions implicated in inductive reas

292 Here, we combined automated formal reasoning with experimentation to expose the logic of ne

293 , they replace much of the hypothesis-driven reasoning with inductive argumentation, which philosophe

294 ects on delayed memory recall and perceptual reasoning (with some evidence of developmental sensitivi

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 s (verbal comprehension, perceptual [visual] reasoning, working memory, and processing speed) were th

298 cy and fluid cognitive measures (e.g., fluid reasoning, working memory, inhibitory control) as predic

299 Similar levels of reasoning would seem to be accessible under animal cogni

300 4.43; P = 9.42 x 10-6), and verbal-numerical reasoning (z score, -5.43; P = 5.64 x 10-8).