ライフサイエンスコーパス: intelligence

1 ransformations is a hallmark of human visual intelligence.

2 and multimodal approach to the evolution of intelligence.

3 d performance in participants of lower fluid intelligence.

4 ormation technologies, especially artificial intelligence.

5 e hiding much of the missing heritability of intelligence.

6 in 4 will talk, and 1 in 2 will have normal intelligence.

7 udies of psychiatric disorders have assessed intelligence.

8 telligence that must inform "new" artificial intelligence.

9 the dividing line between human and nonhuman intelligence.

10 der severity was associated with lower fluid intelligence.

11 icantly to the covariance between myopia and intelligence.

12 uage, can account for superior human general intelligence.

13 Myopia is associated with higher intelligence.

14 ligence and distinguishes it from artificial intelligence.

15 ortant in the path toward general artificial intelligence.

16 onomics, management sciences, and artificial intelligence.

17 association studies of refractive error and intelligence.

18 set concerns animal-level versus human-level intelligence.

19 intelligence, theory of mind, and emotional intelligence.

20 arch directions for building more human-like intelligence.

21 re to PBDEs could help prevent loss of human intelligence.

22 cultural transmission may select for general intelligence.

23 sues when evaluating the state of artificial intelligence.

24 ilable to the group, and restrain collective intelligence.

25 nction, educational attainment and childhood intelligence.

26 nd variable a characteristic in humans as is intelligence.

27 en the magnitude of EEG information flow and intelligence.

28 tigation of this parameter in the context of intelligence.

29 orrelated with behavioral measures of verbal intelligence.

30 particularly strong predictor of the adults' intelligence.

31 rk update efficiency correlated with general intelligence.

32 he low extreme of the normal distribution of intelligence.

33 educing exposure is associated with improved intelligence.

34 en task demands change is a hallmark of high intelligence.

35 est explanation for the evolution of general intelligence.

36 their complex societies and advanced social intelligence.

37 ting Scale and Wechsler Abbreviated Scale of Intelligence.

38 igence and within the entire distribution of intelligence.

39 e variation in individuals of extremely high intelligence.

40 high delta power was a negative correlate of intelligence.

41 compelling explanations for the evolution of intelligence.

42 ognitive ability, and the meaning of general intelligence.

43 challenges was key to our evolution of high intelligence.

44 new insight into the genetic architecture of intelligence.

45 ears; 49.0% female) with valid data on fluid intelligence.

46 ate a cognitive functionalism for artificial intelligence.

47 the potential pathways at enabling cognitive intelligence.

48 by Burkart et al. to probe the evolution of intelligence.

49 are quite different from those of artificial intelligence.

50 is crucial to the development of artificial intelligence.

51 ons of a single underlying variable, namely, intelligence.

52 these regions work together to produce human intelligence?

53 traits were heritable (refractive error 85%, intelligence 47%) and the genetic correlation was -0.143

54 l, the Parieto-Frontal Integration Theory of intelligence [7], and is also consistent with research i

55 arget article relates to fluid (not general) intelligence: a domain-general ability involved in compl

56 t of these images and to leverage artificial intelligence advances.

57 c accuracy is a key condition for collective intelligence: Aggregating the independent judgments of d

58 The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history.

59 Despite artificial intelligence (AI) successes in perfect-information games

60 Radiomic artificial intelligence (AI) technology, either based on engineered

61 To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm f

62 Artificial intelligence (AI), machine learning, and deep learning a

63 Artificial intelligence algorithms seek inspiration from human cogn

64 An ensemble of artificial intelligence algorithms, including random forests, was u

65 (IQ >170) of the population distribution of intelligence and 3253 unselected population-based contro

66 0 mean IQ) of the population distribution of intelligence and 8172 unselected population-based contro

67 eresting insights on the association between intelligence and brain connectivity, while demonstrating

68 ons align with classic debates in artificial intelligence and cognitive science, although, rather tha

69 roughly one-third of the association between intelligence and crime.

70 ion in working memory is a hallmark of human intelligence and differs considerably across individuals

71 and cognition is the real strength of human intelligence and distinguishes it from artificial intell

72 elationships between active thought and both intelligence and language are considered.

73 The results link fluid intelligence and MD function to a process of attentional

74 kart et al. about the coexistence of general intelligence and modular cognitive adaptations, and why

75 on criteria; 10 studies met the criteria for intelligence and nine for attention-related problems.

76 tasks that show age-related decrease (fluid intelligence and object naming) and a syntactic comprehe

77 dvance our understanding of the machinery of intelligence and offer suggestions.

78 roficient linguistic skills despite adequate intelligence and opportunity.

79 intelligence from the vantage point of human intelligence and provide insightful suggestions about re

80 ng framework fuses the fundamentals of swarm intelligence and quantum Shannon theory.

81 Child intelligence and reductions in water arsenic and mangane

82 Genetic variants for intelligence and refractive error explain some of the re

83 A positive linear association between intelligence and REM anterior beta power was found in fe

84 nsider that the relationship between general intelligence and socio-cognitive abilities is poorly und

85 We propose a link between general intelligence and socio-cognitive abilities within humans

86 extreme trait selection for genetic study of intelligence and suggests that extremely high intelligen

87 reproducibly associated with extremely high intelligence and within the entire distribution of intel

88 relative contributions of cognitive skills ("intelligence") and temperament for successful outcomes.

89 brain that gives rise to perception, memory, intelligence, and consciousness.

90 ld infections and malocclusion, increases in intelligence, and probable reductions in overweight and

91 he quality of the home environment, maternal intelligence, and socioeconomic status.

92 misguided conclusions about the evolution of intelligence, and suggest ways to address the article's

93 ored significantly poorer on all measures of intelligence, anxiety/depressive symptoms, and executive

94 evolution and find support for the cultural intelligence approach, which stresses the critical impor

95 lligence, Burkart et al. endorse a "cultural intelligence approach," which emphasizes the critical im

96 I suggest how intelligence as a state variable plausibly could explain

97 However, viewing general intelligence as an emerging property of multiple cogniti

98 resented higher physical endurance and fluid intelligence as well as better function in multiple high

99 r which we can develop machines with general intelligence as well.

100 We argue that general intelligence, as presented in the target article, genera

101 ers were associated with reductions in fluid intelligence; associations were generally small in magni

102 monitoring at the first time point predicted intelligence at the third time point and vice versa, sug

103 Intelligence, attention, memory, executive functioning,

104 A fully data-driven artificial intelligence-based grading algorithm can be used to scre

105 ve assessment (Wechsler Abbreviated Scale of Intelligence), brain MRI, medical records, and structure

106 To understand the evolution of general intelligence, Burkart et al. endorse a "cultural intelli

107 species; it should focus not only on general intelligence but also specific capacities like language

108 remains poor in participants with low fluid intelligence, but is radically improved by problem layou

109 of the development of human-like artificial intelligence, but its inclusion would help move research

110 ey condition for the emergence of collective intelligence, but maintaining diversity is challenging i

111 n cognitive processes may improve artificial intelligence, but this approach implies we have little t

112 ine learning is a means to derive artificial intelligence by discovering patterns in existing data.

113 relevant to the question of whether general intelligence can be found in nonhuman animals in order t

114 adults, there is recent evidence that fluid intelligence can be heightened with cognitive training.

115 ross both tasks, demonstrating an artificial intelligence capable of classifying skin cancer with a l

116 vation in the computer vision and artificial intelligence communities, recent developments in computa

117 A tournament sponsored by the U.S. intelligence community revealed ways in which forecaster

118 luid dynamic modeling, as well as artificial intelligence deep machine learning ( 5 , 6 ).

119 ness of noncoding mutations using artificial intelligence, deep learning, and other approaches have b

120 a and sigma spectral power correlations with intelligence did not unequivocally remain significant af

121 etter performance was associated with higher intelligence, East Asian ancestry, male sex, younger age

122 dementia) and cognitive traits (for example, intelligence, educational attainment and intracranial vo

123 'Emotional intelligence' (EI) is one of the most highly used psycho

124 k demonstrates the potential of bio-inspired intelligence emerging from cells and provides a deep und

125 e of more refined techniques from artificial intelligence enabled us to move beyond counting words by

126 account's ability to explain why human-level intelligence evolved specifically in mammals.

127 sary first step in understanding how general intelligence evolved.

128 evant cognitive functions, including general intelligence, executive function, processing speed, memo

129 Does general intelligence exist across species, and has it been a tar

130 t al. present a paradox - general factors of intelligence exist among individual differences (g) in p

131 n the best-fit model the polygenic score for intelligence explained 0.99% (p = 0.008) of refractive e

132 he association of psychiatric disorders with intelligence, few population-based studies of psychiatri

133 cognition framework for understanding visual intelligence from perception of inanimate objects and fa

134 on the recent accomplishments in artificial intelligence from the vantage point of human intelligenc

135 Across taxonomic subfamilies, variations in intelligence (G) are sometimes related to brain size.

136 The authors evaluate evidence for general intelligence (g) in nonhumans but lean heavily toward ma

137 ler role in explaining variations in general intelligence (g), and the cause-and-effect relationship

138 valuate the role of placebo effects in fluid intelligence gains from cognitive training.

139 Although individual differences in intelligence (general cognitive ability) are highly heri

140 Reading Test, Wechsler Abbreviated Scale of Intelligence, Graded Naming Test, Birt Memory and Inform

141 Fluid intelligence has been associated with a distributed cogn

142 E), the interplay between CCE and collective intelligence has remained unexplored.

143 Recent progress in artificial intelligence has renewed interest in building systems th

144 We argue that a theory of human intelligence has to incorporate human motivations and em

145 ze, and relationships between brain size and intelligence have been demonstrated in humans [1-3].

146 However, other branches of artificial intelligence have designed crucial ingredients towards a

147 e "wisdom of crowds", theories of collective intelligence have suggested that the accuracy of group j

148 Despite intelligence having substantial heritability (0.54) and

149 function, slower walking speed, lower fluid intelligence, higher allostatic load and increased morta

150 EEG sleep spindle correlates of intelligence, however, exhibit a sexual dimorphism, with

151 icant while subjects relying on crystallised intelligence (humanistic/linguistic) showed no correlati

152 The cultural intelligence hypothesis is an exciting new development.

153 Burkart et al.'s proposal that the cultural intelligence hypothesis is the best explanation for the

154 occurs in many animals but find the cultural intelligence hypothesis of limited usefulness.

155 According to the cultural intelligence hypothesis, selection on underlying mechani

156 nificantly predict individual differences in intelligence in an independent unselected sample.

157 Our findings thus show that collective intelligence in animal groups can accumulate progressive

158 Studies of collective intelligence in animal groups typically overlook potenti

159 wn difference in twin-based heritability for intelligence in childhood (0.45) and adulthood (0.80), w

160 chievements, these systems differ from human intelligence in crucial ways.

161 phism, with a more pronounced association to intelligence in females than males.

162 (-7), r(2)=0.003), logical memory and verbal intelligence in GS:SFHS.

163 Conceptualizing intelligence in its biological context, as the expressio

164 are consistent with the presence of general intelligence in mammals (rodents and primates).

165 We then evaluate the implications of general intelligence in nonhuman animals for current theories ab

166 es an anthropocentric model of understanding intelligence in nonhuman animals.

167 rder to situate attempts to identify general intelligence in nonhuman animals.

168 e search for general processes that underlie intelligence in nonhumans has followed two strategies: o

169 The presence of general intelligence in nonhumans implies that modular abilities

170 is a genetic correlation between myopia and intelligence in over 1,500 subjects (aged 14-18 years) f

171 st that the neural oscillatory correlates of intelligence in sleep are sexually dimorphic, and they a

172 behavior, explaining the broad role of fluid intelligence in successful cognition.

173 esults accounted for 1.6% of the variance of intelligence in the normal range in an unselected sample

174 is continuous genetically with normal-range intelligence in the population.

175 entifying a key factor underlying collective intelligence in two important real-world contexts, our f

176 Intelligence, in most people's conception, involves comb

177 as led to significant advances in artificial intelligence, in part, by adopting strategies motivated

178 of "key ingredients" for building human-like intelligence, including the idea that model-based reason

179 ental question about its origin and links to intelligence (IQ) still remains.

180 General intelligence is a statistical abstraction, not a cogniti

181 Human fluid intelligence is also intimately linked to task complexit

182 A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, s

183 Intelligence is associated with important economic and h

184 ntelligence and suggests that extremely high intelligence is continuous genetically with normal-range

185 omplex behavior.SIGNIFICANCE STATEMENT Fluid intelligence is intimately linked to the ability to stru

186 The hypothesis that it encourages general intelligence is intriguing, but it presents a paradox in

187 Low fluid intelligence is linked to poor foregrounding of task-cri

188 argue that the truly unique aspect of human intelligence is not the variety of cognitive skills that

189 elationship between genetic risk for ASD and intelligence is partly independent of clinical state.

190 a deep, multileveled understanding of human intelligence is perhaps the grand challenge for 21st-cen

191 151 healthy individuals, we investigated how intelligence is related to spectral components of full-n

192 propose that the critical function in fluid intelligence is splitting a complex whole into simple, s

193 Collective intelligence is the ability of a group to perform more e

194 framework, under which the general factor of intelligence is the common consequence, not the common c

195 General cognitive ability (intelligence) is one of the most heritable behavioural t

196 What can artificial intelligence learn from neuroscience, and vice versa?

197 s generations, helping people and artificial intelligences learn things that no individual could lear

198 with communicative impairment, regardless of intelligence level or mental age.

199 A recent theoretical study shows that intelligence-like brain functions can emerge from simple

200 learning, we suggest that aspects of general intelligence likely arose in tandem with mechanisms of a

201 nose cancer from TEPs, suggesting that swarm intelligence may also benefit the optimization of diagno

202 eproductive pressures and explains how human intelligence may have become so distinctive compared wit

203 Instead, individual differences in intelligence may reflect variations in domain-general pr

204 al clinical complications after delivery and intelligence measures (IQ) in adulthood.

205 or newborn supplementation with vitamin A on intelligence, memory, and motor function.

206 Modern artificial intelligence methods such as deep learning have the pote

207 The theory of multiple intelligences (MI) seeks to describe and encompass the r

208 ts were used to train and test an artificial intelligence model to differentiate healthy fundi from t

209 im of this work was to develop computational intelligence models based on neural networks (NN), fuzzy

210 identified brain injury diagnosis, preinjury intelligence, motor strength, verbal fluency, and neurob

211 hen controlling for the others, with general intelligence, musical training, and male sex having the

212 tation of a psychometric g factor as general intelligence needs to be validated, in particular in pri

213 Artificial intelligence (neural network) study.

214 hers had higher BMI, blood pressure, height, intelligence, non-cognitive ability and socioeconomic po

215 We strongly agree that general intelligence occurs in many animals but find the cultura

216 Here we report a meta-analysis for intelligence of 78,308 individuals.

217 es could pave the way to creating artificial intelligence of a novel type.

218 We show that the higher intelligence of academics has at best a very weak effect

219 n regulation skills measures (e.g. emotional intelligence) offered concurrent validity evidence.

220 egarding developmental exposure to PBDEs and intelligence or Attention Deficit/Hyperactivity Disorder

221 7), and 4.8 (0.6, 9.0), respectively.General intelligence or memory and motor functions were not affe

222 The field of artificial intelligence originally traveled down two roads, one of

223 challenging of classic games for artificial intelligence owing to its enormous search space and the

224 The presence of general intelligence poses a major evolutionary puzzle, which ha

225 Burkart et al. contend that general intelligence poses a major evolutionary puzzle.

226 considering two characterisations of general intelligence presented in the article.

227 ed pathway analysis, and further, artificial intelligence provides a means of assessing the role of a

228 Swarm intelligence provides nature-inspired solutions for prob

229 odevelopmental disorder characterized by low intelligence quotent and a wide range of other symptoms

230 s showed associations with lower performance intelligence quotient (beta -0.056, OR 1.13 [95% CI 1.04

231 to 9.1; P=0.03), but not on the Binet-Kamat intelligence quotient (difference, 2.5; 95% CI, -0.1 to

232 ficient" evidence for an association between Intelligence Quotient (IQ) and PBDEs.

233 Mean full-scale or global intelligence quotient (IQ) and performance IQ scores ove

234 se relationship between frequency of use and intelligence quotient (IQ) change.

235 Children's Abilities at age 4 and full scale intelligence quotient (IQ) from the Wechsler Abbreviated

236 The difference was driven mainly by intelligence quotient (IQ) points loss and intellectual

237 g pregnancy might be associated with reduced intelligence quotient (IQ) score in offspring.

238 ow birth weights (LBW, <2500 g) have a lower intelligence quotient (IQ) than those with normal birth

239 Intelligence quotient (IQ), grades, and scores on achiev

240 ta = 0.80, p = 0.0095), corresponding to a 6 intelligence quotient (IQ)-point difference.

241 operties under consideration with respect to intelligence quotient (IQ-scores).

242 d/or congenital diaphragmatic hernia with an intelligence quotient greater than or equal to 80 and a

243 ligence Third Edition (WPPSI-III) Full Scale Intelligence Quotient score at age 5 years.

244 comes, including changes in pubertal timing, intelligence quotient, and mental health.

245 (95% CI: 3.1, 11.2) points lower on tests of intelligence quotient, had poorer memory (P < 0.04), and

246 ague Seizure Severity scale, the Binet-Kamat intelligence quotient, the social quotient on the Vinela

247 with schizophrenia and 26 age-, gender-, and intelligence quotient-matched healthy controls (HCs) par

248 power, which was negatively correlated with intelligence quotient.

249 andidate genes exhibited significantly lower intelligence quotients, supporting their strong function

250 y our anthropocentric folk theories of their intelligence rather than by their own adaptive requireme

251 an to suggest that honeybees rival humans in intelligence - rather he saw in the bee a qualitatively

252 Collective intelligence refers to the ability of groups to outperfo

253 argue persuasively that modelling human-like intelligence requires flexible, compositional representa

254 thesis will serve as a valuable resource for intelligence research.

255 severe impairment compared with no CRT (eg, intelligence: RR = 2.70; 95% CI, 1.37 to 5.34; memory: R

256 ured with the fourth edition of the Wechsler Intelligence Scale for Children (WISC-IV), and the mean

257 telligence was assessed by WISC-IV (Wechsler Intelligence Scale for Children, 4th ed.), with a versio

258 Main Outcomes and Measures: Wechsler Adult Intelligence Scale, third edition, scores; Wechsler Test

259 sed at age 38 years using the Wechsler Adult Intelligence Scale-IV (WAIS-IV; IQ range, 40-160).

260 ign included 1,393 cases with extremely high intelligence scores (top 0.0003 of the population equiva

261 works vary across individuals with different intelligence scores.

262 ce Service officer in the first Epidemiology Intelligence Service class.

263 He was the first Epidemiology Intelligence Service officer in the first Epidemiology I

264 pothesis explaining the evolution of general intelligence should be able to account for it in all spe

265 task complexity, participants of lower fluid intelligence showed reduced responses to task-critical e

266 ciations of current than past disorders with intelligence suggest that active symptoms of psychiatric

267 rontier approach to the design of artificial-intelligence systems with dramatically reduced complexit

268 o deep neural networks and future artificial-intelligence systems: the need to design effective sophi

269 in the bee a qualitatively different form of intelligence, tailored to the challenges of a profoundly

270 Fluid IQ measured with the Kaufman Brief Intelligence Test, normed within the sample by 6-month a

271 rare alleles associated with extremely high intelligence than would be expected under the null hypot

272 Lake et al. discuss building blocks of human intelligence that are quite different from those of arti

273 situations are capabilities of human visual intelligence that are yet to be matched by leading machi

274 domains is the fundamental feature of human intelligence that must inform "new" artificial intellige

275 sertion presupposes a reification of general intelligence - that is, assuming that it is one "thing"

276 rganization is positively related to general intelligence, the ability to perform a wide variety of c

277 hing signal used by algorithms in artificial intelligence: the reward prediction error (PE)-the diffe

278 dence base on the relationship among general intelligence, theory of mind, and emotional intelligence

279 the Wechsler Preschool and Primary Scale of Intelligence Third Edition (WPPSI-III) and the global ex

280 the Wechsler Preschool and Primary Scale of Intelligence Third Edition (WPPSI-III) Full Scale Intell

281 the Wechsler Preschool and Primary Scale of Intelligence, Third Edition, at age 5.

282 the Wechsler Primary and Preschool Scale of Intelligence(TM)-III (WPPSI-III) and two scales of the B

283 show that participants gain easily chemical intelligence to fold simple and nontrivial topologies, w

284 complements prior hypotheses that link human intelligence to social reasoning and reproductive pressu

285 inciple to the psychometric concept of fluid intelligence, traditionally measured with tests of compl

286 are known to be associated with factors like intelligence, training, and sex, but a comprehensive eva

287 t attractiveness is a marker of personality, intelligence, trustworthiness, professional competence,

288 pic correlation between refractive error and intelligence was -0.116 (p < 0.01) - the inverse correla

289 For 296 children, intelligence was assessed by WISC-IV (Wechsler Intellige

290 Child intelligence was measured by the General Cognitive Index

291 Intelligence was not associated with posttraumatic stres

292 Intelligence was within normal limits (mean, 98; standar

293 (IQ) from the Wechsler Abbreviated Scale of Intelligence (WASI) at age 6-12.

294 In challenging the concept of general intelligence, we can apply an MI perspective that may pr

295 Standardized measures of intelligence were administered at ages 9-12 y, before ma

296 lution is identifying unique features of our intelligence while explaining the processes by which the

297 Associations of fluid intelligence with lifetime disorders that had remitted w

298 To investigate the association of fluid intelligence with past-year and lifetime psychiatric dis

299 to the variance explained by GWA studies of intelligence with substantially larger sample sizes.

300 ata, and many recent successes in artificial intelligence (with deep convolutional neural nets) are b