Mainstream science on intelligence: An editorial with 52 signatories, history, and bibliography

Gottfredson, Linda S.

doi:10.1016/s0160-2896(97)90011-8

Cited by 821 publications

(509 citation statements)

References 3 publications

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“…This means that robots are currently deployed only in a small subset of possible applications, and thus we can still greatly increase their contribution to society. In the past decades, many of the problems 1 Although there is no commonly accepted definition of intelligence, there are consensual approximations (Gottfredson 1997;Legg and Hutter 2007). The Encyclopedia Britannica (2006), as quoted by Legg and Hutter (2007), lists many of the properties that we deem relevant for deciding whether a robot can be considered intelligent: [.…”

Section: Introductionmentioning

confidence: 99%

Autonomous construction using scarce resources in unknown environments

2012

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The goal of creating machines that autonomously perform useful work in a safe, robust and intelligent manner continues to motivate robotics research. Achieving this autonomy requires capabilities for understanding the environment, physically interacting with it, predicting the outcomes of actions and reasoning with this knowledge. Such intelligent physical interaction was at the centre of early robotic investigations and remains an open topic.In this paper, we build on the fruit of decades of research to explore further this question in the context of autonomous construction in unknown environments with scarce resources. Our scenario involves a miniature mobile robot that autonomously maps an environment and uses cubes to bridge ditches and build vertical structures according to high-level goals given by a human.Based on a "real but contrived" experimental design, our results encompass practical insights for future applications that also need to integrate complex behaviours under hardware constraints, and shed light on the broader question of

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Section: Introductionmentioning

confidence: 99%

Autonomous construction using scarce resources in unknown environments

2012

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“…Intelligence can be measured with intelligence tests, which are among the most reliable and valid of psychological tests and assessments (Gottfredson, 1997). Standardized measures of intelligence predict many important educational, occupational, economic, and social outcomes (Gottfredson, 1997;Brody, 1992).…”

Section: Assessment Of Intelligencementioning

confidence: 99%

“…Standardized measures of intelligence predict many important educational, occupational, economic, and social outcomes (Gottfredson, 1997;Brody, 1992). Although intelligence tests have been criticized throughout the literature, most of the criticisms are associated with the inappropriate use of these tests and misinterpretation of the results rather than the tests themselves (Papanastasiou, 1999;Gottfredson & Saklofske, 2009).…”

Section: Assessment Of Intelligencementioning

confidence: 99%

Section: Intelligence-achievement Relationmentioning

confidence: 99%

“…Scientific research on intelligence has shown evidence that people with higher IQ scores get better education, have more prestigious jobs, and earn higher income than do people with lower IQ scores (Gottfredson, 1997(Gottfredson, , 2003Jensen, 1980Jensen, , 1998Schmidt & Hunter, 2004). However, this body of research does not claim that differences in intelligence are the only predictor of such social outcomes (Gottfredson, 1997). Gagne and St. Pere (2002) noted that social science research rarely include intelligence as a research variable and point out that the causal function of intelligence could contribute to the understanding of many psychoeducational and psychosocial constructs if included as a variable in studies.…”

Section: Intelligence-achievement Relationmentioning

confidence: 99%

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Intelligence and Its Relationship to Achievement

Kaya¹,

Juntune²,

Stough³

2015

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ABSTRACT. This comprehensive literature review examines the link between intelligence and achievement. It also provides a brief summary of selected psychometric theories of intelligence. In attempt to gather all relevant scholarly literature, several procedures were used. A search of the key terms in the ERIC, PsycINFO, and Google Scholar databases was performed. The literature evidences that verbal abilities have stronger correlation with academic achievement than nonverbal abilities. Furthermore, verbal abilities are related to readiness to learn while nonverbal abilities are related to potential to learn. If intelligence scores are used to predict any kind of future academic performance, both verbal (readiness) and nonverbal (potential) abilities should be evaluated. Besides, in order to identify gifted and talented students, assessment of verbal abilities should accompany with the assessment of nonverbal abilities so that they will be able to survive in advanced academic programs.

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