Intelligence measures for assessing disordered thought and perception.

2021 ◽  
pp. 209-222
Author(s):  
John R. Reddon ◽  
Salvatore B. Durante ◽  
Donald H. Saklofske
Keyword(s):  
Intelligence Measures

The Predictive Validity of Assessment Centers in German-Speaking Regions

2011 ◽  
Vol 10 (2) ◽  
pp. 61-69 ◽  
Author(s):  
Nicolas Becker ◽  
Stefan Höft ◽  
Marcus Holzenkamp ◽  
Frank M. Spinath
Keyword(s):  
Predictive Validity ◽  
Target Group ◽  
Assessment Centers ◽  
Credibility Interval ◽  
German Speaking ◽  
English Speaking ◽  
Intelligence Measures ◽  
Meta Analyses

As previous meta-analyses have focused almost solely on English-speaking regions, this study presents the first systematic meta-analytical examination of the predictive validity of assessment centers (ACs) conducted in German-speaking regions. It summarizes 24 validity coefficients taken from 19 studies (N = 3,556), yielding a mean corrected validity of ρ = .396 (80% credibility interval .235 ≤ ρ ≤ .558). ACs with different purposes and different kinds of criterion measures were analyzed separately. Furthermore, target group (internal vs. external candidates), average age of the assessees, inclusion of intelligence measures, number of instruments used, AC duration, as well as time elapsed between AC and criterion assessment were found to moderate the validity.

scholarly journals Intelligence via ultrafilters: structural properties of some intelligence comparators of deterministic Legg-Hutter agents

2019 ◽  
Vol 10 (1) ◽  
pp. 24-45
Author(s):  
Samuel Allen Alexander
Keyword(s):  
Structural Properties ◽  
Intelligent Agents ◽  
Intelligent Agent ◽  
Related Question ◽  
Practical Intelligence ◽  
Guiding Principle ◽  
Intelligence Measures ◽  
Open Question ◽  
Structural Theorems

Abstract Legg and Hutter, as well as subsequent authors, considered intelligent agents through the lens of interaction with reward-giving environments, attempting to assign numeric intelligence measures to such agents, with the guiding principle that a more intelligent agent should gain higher rewards from environments in some aggregate sense. In this paper, we consider a related question: rather than measure numeric intelligence of one Legg-Hutter agent, how can we compare the relative intelligence of two Legg-Hutter agents? We propose an elegant answer based on the following insight: we can view Legg-Hutter agents as candidates in an election, whose voters are environments, letting each environment vote (via its rewards) which agent (if either) is more intelligent. This leads to an abstract family of comparators simple enough that we can prove some structural theorems about them. It is an open question whether these structural theorems apply to more practical intelligence measures.

scholarly journals Measuring Intelligence and Growth Rate: Variations on Hibbard’s Intelligence Measure

2021 ◽  
Vol 12 (1) ◽  
pp. 1-25
Author(s):  
Samuel Alexander ◽  
Bill Hibbard
Keyword(s):  
Growth Rate ◽  
Growth Rates ◽  
Measuring Method ◽  
General Intelligence ◽  
Sequence Prediction ◽  
Artificial General Intelligence ◽  
Intelligence Measures

AbstractIn 2011, Hibbard suggested an intelligence measure for agents who compete in an adversarial sequence prediction game. We argue that Hibbard’s idea should actually be considered as two separate ideas: first, that the intelligence of such agents can be measured based on the growth rates of the runtimes of the competitors that they defeat; and second, one specific (somewhat arbitrary) method for measuring said growth rates. Whereas Hibbard’s intelligence measure is based on the latter growth-rate-measuring method, we survey other methods for measuring function growth rates, and exhibit the resulting Hibbard-like intelligence measures and taxonomies. Of particular interest, we obtain intelligence taxonomies based on Big-O and Big-Theta notation systems, which taxonomies are novel in that they challenge conventional notions of what an intelligence measure should look like. We discuss how intelligence measurement of sequence predictors can indirectly serve as intelligence measurement for agents with Artificial General Intelligence (AGIs).

scholarly journals EMOTION AND EMOTIONAL INTELLIGENCE: FROM CONCEPT AND MODELS TO MEASUREMENT AND APPLICATION

2021 ◽  
Vol 03 (05) ◽  
pp. 294-305
Author(s):  
Abdelmounim KIOUACH ◽  
Benaissa ZARHBOUCH
Keyword(s):  
Emotional Intelligence ◽  
Mixed Models ◽  
Social Life ◽  
Theoretical Models ◽  
Neural Basis ◽  
Emotional Aspect ◽  
Social Balance ◽  
Intelligence Measures

This article approaches the emotional aspect of man, by focusing on emotional intelligence and the concepts associated with it according to two levels: Firstly; Invoking some theoretical models of emotional intelligence, as well as the most important models that explain it, with defining its dimensions. Secondly; See the scales used to measure it and its importance in psychological and social balance. It also aims to evoke the neural basis of this intelligence and its mental and nervous processes, and to monitor its relationship with the environment and genetics and its influence on them, to explain the differences between individuals. It has been shown that emotional intelligence plays a major role on the level of individual adaptation in different contexts: socially, scientifically, and academically. Because it is multifaceted, theoretical models have been crystallized for it; It may be cognitive, or models for a group of traits, or mixed models, which helped to build the standards currently known. By measuring emotional intelligence, it is possible to predict the individual's success or failure in social life, and may exceed mental intelligence in this. Keywords: Intelligence; Emotional Intelligence; Emotion, Affect; Emotional Intelligence Measures.

Rhetoric of Play

2013 ◽  
pp. 175-203 ◽  
Author(s):  
Ben Tran
Keyword(s):  
Emotional Intelligence ◽  
Video Games ◽  
Competitive Advantage ◽  
Video Game ◽  
Organizational Settings ◽  
Qualified Candidate ◽  
Game Players ◽  
Intelligence Measures ◽  
Organizational Needs ◽  
And Training

Understanding the psychology of the gamer is important not just in studying video game players but also for understanding behaviors and characteristics of individuals who are non-players of video games. Currently, there is a gap in literature concerning the utilization of the gamer in selecting and training potential and current employees in organizational settings. The benefits of utilizing the gamer factor in selecting and training potential employees are: 1) identifying a qualified candidate who is a good fit to the organizational needs and 2) achieving and maintaining competitive advantage over competitors. Organizations are encouraged to utilize the Enneagram of Personality and Emotional Intelligence measures to identify gamers’ other characteristics (O) and utilize the Tavistock method to assess gamers’ factors. The Tavistock approach has been utilized in various formats including the Apprentice.

Corrigendum to “Intelligence measures and stage 2 sleep in typically-developing and autistic children” [INTPSY 97/1 (2015) 58–65]

2016 ◽  
Vol 100 ◽  
pp. 52
Author(s):  
Sophie Tessier ◽  
Andréane Lambert ◽  
Marjolaine Chicoine ◽  
Peter Scherzer ◽  
Isabelle Soulières ◽  
...  
Keyword(s):  
Typically Developing ◽  
Autistic Children ◽  
Stage 2 Sleep ◽  
Intelligence Measures
Sign in / Sign up

Export Citation Format

Share Document