Journal Article10.1007/S10519-014-9646-X
Genes, evolution and intelligence.
TL;DR: It is argued that the g factor meets the fundamental criteria of a scientific construct more fully than any other conception of intelligence and suggests that many species have evolved a general-purpose mechanism for dealing with the environments in which they evolved.
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Abstract: I argue that the g factor meets the fundamental criteria of a scientific construct more fully than any other conception of intelligence I briefly discuss the evidence regarding the relationship of brain size to intelligence A review of a large body of evidence demonstrates that there is a g factor in a wide range of species and that, in the species studied, it relates to brain size and is heritable These findings suggest that many species have evolved a general-purpose mechanism (a general biological intelli- gence) for dealing with the environments in which they evolved In spite of numerous studies with considerable statistical power, we know of very few genes that influence g and the effects are very small Nevertheless, g appears to be highly polygenic Given the complexity of the human brain, it is not surprising that that one of its primary fac- ulties—intelligence—is best explained by the near infini- tesimal model of quantitative genetics
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The descent of man and selection in relation to sex
ダーウィン チャールス,田中 茂穗 +1 more
- 20 Apr 1907
TL;DR: For instance, when a dog sees another dog at a distance, it is often clear that he perceives that it is a dog in the abstract; for when he gets nearer his whole manner suddenly changes, if the other dog be a friend as discussed by the authors.
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The Integrative Action of the Nervous System.
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Genome-wide association study of cognitive functions and educational attainment in UK Biobank ( N =112 151)
Gail Davies,Riccardo E. Marioni,Riccardo E. Marioni,David C. Liewald,WD Hill,Saskia P. Hagenaars,Sarah E. Harris,Stuart J. Ritchie,Michelle Luciano,Chloe Fawns-Ritchie,Donald M. Lyall,Breda Cullen,Simon R. Cox,Caroline Hayward,David J. Porteous,Jonathan Evans,Andrew M. McIntosh,John Gallacher,Nicholas John Craddock,Jill P. Pell,Daniel J. Smith,Catharine R. Gale,Catharine R. Gale,Ian J. Deary +23 more
TL;DR: The genome-wide significant single-nucleotide polymorphism (SNP)-based associations in 20 genomic regions, and significant gene-based findings in 46 regions are reported, including findings in the ATXN2, CYP2DG, APBA1 and CADM2 genes.
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All that's gold does not glitter
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References
Causality: models, reasoning, and inference
TL;DR: The art and science of cause and effect have been studied in the social sciences for a long time as mentioned in this paper, see, e.g., the theory of inferred causation, causal diagrams and the identification of causal effects.
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Complex brain networks: graph theoretical analysis of structural and functional systems
Edward T. Bullmore,Olaf Sporns +1 more
TL;DR: This article reviews studies investigating complex brain networks in diverse experimental modalities and provides an accessible introduction to the basic principles of graph theory and highlights the technical challenges and key questions to be addressed by future developments in this rapidly moving field.
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The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme
TL;DR: In this paper, the authors criticise the adaptationist program for its inability to distinguish current utility from reasons for origin (male tyrannosaurs may have used their diminutive front legs to titillate female partners, but this will not explain why they got so small).
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The descent of man and selection in relation to sex: documento
TL;DR: Part I. Sexual Selection (continued): Secondary sexual characters of fishes, amphibians and reptiles, and secondarySexual characters of birds.
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Genetics and Analysis of Quantitative Traits
Michael Lynch,Bruce Walsh +1 more
- 01 Jan 1996
TL;DR: This book discusses the genetic Basis of Quantitative Variation, Properties of Distributions, Covariance, Regression, and Correlation, and Properties of Single Loci, and Sources of Genetic Variation for Multilocus Traits.
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