Browsing by Subject "intelligence"
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Item Open Access Logic, passion and the problem of convergence.(Interface focus, 2017-06) McShea, Daniel WOur estimate of the likelihood of convergence on human-style intelligence depends on how we understand our various mental capacities. Here I revive David Hume's theory of motivation and action to argue that the most common understanding of the two conventionally recognized components of intelligence-reason and emotion-is confused. We say things like, 'Reason can overcome emotion', but to make this statement meaningful, we are forced to treat reason as a compound notion, as a forced and unhappy mixture of concepts that are incommensurate. An alternative is to parse intelligence in a different way, into two sets of capacities: (i) non-affective capacities, including logic, calculation and problem-solving; (ii) affective capacities, including wants, preferences and cares, along with the emotions. Thus, the question of convergence becomes two questions, one having to do with affective and one with non-affective capacities. What is the likelihood of convergence of these in non-human lineages, in other ecologies, on other worlds? Given certain assumptions, convergence of the non-affective capacities in thinking species seems likely, I argue, while convergence of the affective capacities seems much less likely.Item Open Access Politics as Usual: Congress and the Intelligence Community(2021) Allred, Robert PIntelligence is an integral part of states’ foreign policy formation and implementation. In the American context, the intelligence community is involved in essentially every national security discussion occurring in government, yet it remains relatively obscure to academia and the broader public. The inherently secretive nature of intelligence impedes the collection and analysis of reliable and representative data. Consequently, broad generalities and sensational accounts pervade public discussions and even academic research. We can have little confidence that we have a complete picture of how these clandestine organizations operate, their success as instruments of policy, or their effectiveness in warning.
Congress is nominally endowed with the primary responsibility for piercing this curtain of secrecy and ensuring the community’s primary goals are pursued efficiently and lawfully. Unfortunately, the secrecy that makes congressional oversight necessary also perversely disincentivize it. These efforts largely occur in private, taking members away from electorally beneficial activities. Inattentive voters, few interest groups, incomplete control of intelligence budgets, and no natural voting constituency exacerbate this problem. Despite these shortcomings, intelligence committee service has been highly coveted in recent years.
I argue that Congress members see other electoral benefits to intelligence committee service. At the institutional level, party and committee leadership see opportunities to search for failures or executive malfeasance in closed hearings and to bring salient issues to public attention in open sessions. At the individual level, committee members perceive that service bolsters foreign policy credentials and provides regular opportunities to take critical policy positions. Finally, while the public may be uninformed and inattentive on intelligence, they do pay attention to salient crises or alleged malfeasance, providing an electoral connection to the above partisan motivations.
I provide evidence of these incentives in a quantitative analysis of oversight hearing data, natural language processing of committee member communications on Twitter, and a national online survey with two survey experiments. I find that partisan political factors like divided government, election cycles, and party identity can influence patterns of committee and individual behavior, as well as the beliefs held by the public. In short, for intelligence oversight its politics as usual.
Item Open Access The association between cognitive function and subsequent depression: a systematic review and meta-analysis.(Psychol Med, 2017-01) Scult, MA; Paulli, AR; Mazure, ES; Moffitt, TE; Hariri, AR; Strauman, TJDespite a growing interest in understanding the cognitive deficits associated with major depressive disorder (MDD), it is largely unknown whether such deficits exist before disorder onset or how they might influence the severity of subsequent illness. The purpose of the present study was to conduct a systematic review and meta-analysis of longitudinal datasets to determine whether cognitive function acts as a predictor of later MDD diagnosis or change in depression symptoms. Eligible studies included longitudinal designs with baseline measures of cognitive functioning, and later unipolar MDD diagnosis or symptom assessment. The systematic review identified 29 publications, representing 34 unique samples, and 121 749 participants, that met the inclusion/exclusion criteria. Quantitative meta-analysis demonstrated that higher cognitive function was associated with decreased levels of subsequent depression (r = -0.088, 95% confidence interval. -0.121 to -0.054, p < 0.001). However, sensitivity analyses revealed that this association is likely driven by concurrent depression symptoms at the time of cognitive assessment. Our review and meta-analysis indicate that the association between lower cognitive function and later depression is confounded by the presence of contemporaneous depression symptoms at the time of cognitive assessment. Thus, cognitive deficits predicting MDD likely represent deleterious effects of subclinical depression symptoms on performance rather than premorbid risk factors for disorder.Item Open Access The Genetics of Success: How Single-Nucleotide Polymorphisms Associated With Educational Attainment Relate to Life-Course Development.(Psychol Sci, 2016-07) Belsky, Daniel W; Moffitt, Terrie E; Corcoran, David L; Domingue, Benjamin; Harrington, HonaLee; Hogan, Sean; Houts, Renate; Ramrakha, Sandhya; Sugden, Karen; Williams, Benjamin S; Poulton, Richie; Caspi, AvshalomA previous genome-wide association study (GWAS) of more than 100,000 individuals identified molecular-genetic predictors of educational attainment. We undertook in-depth life-course investigation of the polygenic score derived from this GWAS using the four-decade Dunedin Study (N = 918). There were five main findings. First, polygenic scores predicted adult economic outcomes even after accounting for educational attainments. Second, genes and environments were correlated: Children with higher polygenic scores were born into better-off homes. Third, children's polygenic scores predicted their adult outcomes even when analyses accounted for their social-class origins; social-mobility analysis showed that children with higher polygenic scores were more upwardly mobile than children with lower scores. Fourth, polygenic scores predicted behavior across the life course, from early acquisition of speech and reading skills through geographic mobility and mate choice and on to financial planning for retirement. Fifth, polygenic-score associations were mediated by psychological characteristics, including intelligence, self-control, and interpersonal skill. Effect sizes were small. Factors connecting DNA sequence with life outcomes may provide targets for interventions to promote population-wide positive development.