Emotional intelligence as a standard intelligence

The authors have claimed that emotional intelligence (EI) meets traditional standards for an intelligence (J. D. Mayer, D. R. Caruso, & P. Salovey, 1999). R. D. Roberts, M. Zeidner, and G. Matthews (2001) questioned whether that claim was warranted. The central issue raised by Roberts et al. concerning Mayer et al. (1999) is whether there are correct answers to questions on tests purporting to measure EI as a set of abilities. To address this issue (and others), the present authors briefly restate their view of intelligence, emotion, and EI. They then present arguments for the reasonableness of measuring EI as an ability, indicate that correct answers exist, and summarize recent data suggesting that such measures are, indeed, reliable.     

Epileptic seizures in multiple sclerosis

Starting from informations in the literature, the authors deals with eight own cases, suffering from clinically certain multiple sclerosis and showing, as a further sign, epileptic seizures. Compared to the total of patients, these eight cases represent 1.78 p.c. of all patients treated for multiple sclerosis in this clinic. The features of seizures, frequency and dynamics of occurrence are referred to. The authors point out that it is necessary to differential between epileptic seizures and non-epileptic attacks, and they draw attention to the fact that here are difficulties with regard to differential diagnosis if epileptic seizure appears as a initial symptom of multiple sclerosis.     

Emotional intelligence meets traditional standards for an intelligence

An intelligence must meet several standard criteria before it can be considered scientifically legitimate. First, it should be capable of being operationalized as a set of abilities. Second, it should meet certain correlational criteria: the abilities defined by the intelligence should form a related set (i.e., be intercorrelated), and be related to pre-existing intelligences, while also showing some unique variance. Third, the abilities of the intelligence should develop with age and experience. In two studies, adults (N=503) and adolescents (N=229) took a new, 12-subscale ability test of emotional intelligence: the Multifactor Emotional Intelligence Scale (MEIS). The present studies show that emotional intelligence, as measured by the MEIS, meets the above three classical criteria of a standard intelligence.     

癫痫预测方法的分析与研究

癫痫预测目的有两个:从技术的层面去理解癫痫发作的机理,并对癫痫发作进行测量和改善,探索引发癫痫发作的周期性及先兆;开发出可靠的"癫痫发作前预警及治疗装置".癫痫预测的主要研究方法有:频域分析方法;时序分析方法;智能系统工程方法;非线性动力学方法.目前,越来越多的研究集中在非线性动力学的方法上,且来自多种方法的很多证据证明癫痫可以预测.     

癫痫预测方法的分析与研究

癫痫预测目的有两个从技术的层面去理解癫痫发作的机理,并对癫痫发作进行测量和改善,探索引发癫痫发作的周期性及先兆;开发出可靠的“癫痫发作前预警及治疗装置”。癫痫预测的主要研究方法有频域分析方法;时序分析方法;智能系统工程方法;非线性动力学方法。目前,越来越多的研究集中在非线性动力学的方法上,且来自多种方法的很多证据证明癫痫可以预测。     

Book review section: Computer intelligence and human intelligence

Great Ideas in Information Theory, Language, and Cybernetics Jagjit Singh New York: Dover Publications, 1966 pp. viii + 338, Paperbound, $2.00     

Measuring emotional intelligence

The purposes of this study were (a) to develop a measure of emotional intelligence, the Emotional Intelligence Inventory and (b) to find the underlying dimensions of the inventory by testing 111 high school students at a bilingual college preparatory school. The inventory has 45 items. After excluding the four weakest items, the reliability coefficient alpha was .83. Subsequently, 319 junior and senior high school students at the same school were administered the 41 items. The reliability coefficient was .81. A maximum likelihood factor analysis with a varimax rotation yielded four factors of empathy, utilization of feelings, handling relationships, and self-control. Psychometric properties were sound, and the revised Emotional Intelligence Inventory can be recommended for use in the investigation of emotional intelligence.     

Nutrition et intelligence

This article provides an overview of the literature on the relation between intelligence and nutrition. The first two sections introduce some data on the prevalence of malnutrition across the planet, and show how studies of animal cognition can help to understand the impact of malnutrition on human cognitive functioning. The third section introduces the effects of general “denutrition” and of iron, zinc, iodine, and vitamin deficiencies. The last two sections emphasize the impact of breastfeeding on intellectual and academic performance, and the importance of breakfast with regard to the ability to learn.     

Culture and intelligence

Intelligence cannot be fully or even meaningfully understood outside its cultural context. Work that seeks to study intelligence acontextually risks the imposition of an investigator's view of the world on the rest of the world. Moreover, work on intelligence within a single culture mayfail to do justice to the range of skills and knowledge that may constitute intelligence broadly defined and risks drawing false and hasty generalizations. This article considers the relevance of culture to intelligence, as well as its investigation, assessment, and development. Studies that show the importance of understanding intelligence in its cultural context are described; the author concludes that intelligence must be understood in such context.     

Task novelty and intelligence

Psychology students were presented with a mental puzzle based on knowledge of geometry, with several versions of Wason's selection task, and with some tasks of essay writing. Test scores were obtained on a sentence completion test and a test of spatial configuration. With the different problem-solving tasks, a relationship between success and intellectual ability was observed only in cases where the data indicated that the subjects were familiar with the task in question. The results support the theory previously set forth by Raaheim; that only in situations where the degree of novelty is moderate, will the intelligent use of past experience prove beneficial to problem solving.     

Attentional balance and intelligence

Recent studies of neuroimaging during cognitive tasks suggest that most tasks involve the activity of widespread areas in both cerebral hemispheres. In many cases, information must be shared between the two hemispheres. The coordination of these areas involves the brain's attentional networks. Unilateral brain damage often causes asymmetries in attention and reduced speed of processing. Based on these findings it was hypothesized that mental processing in normals will be more efficient when normal people can shift attention to either hemisphere with equal efficiency. Attentional balance was measured by the degree of asymmetry found during the covert visual-orienting task. Intelligence was measured by the Raven Standard Progressive Matrices. Data from two experiments suggest that low asymmetry in attention shifting is associated with higher intelligence.     

Epistemology and artificial intelligence

In this essay we advance the view that analytical epistemology and artificial intelligence are complementary disciplines. Both fields study epistemic relations, but whereas artificial intelligence approaches this subject from the perspective of understanding formal and computational properties of frameworks purporting to model some epistemic relation or other, traditional epistemology approaches the subject from the perspective of understanding the properties of epistemic relations in terms of their conceptual properties. We argue that these two practices should not be conducted in isolation. We illustrate this point by discussing how to represent a class of inference forms found in standard inferential statistics. This class of inference forms is interesting because its members share two properties that are common to epistemic relations, namely defeasibility and paraconsistency. Our modeling of standard inferential statistical arguments exploits results from both logical artificial intelligence and analytical epistemology. We remark how our approach to this modeling problem may be generalized to an interdisciplinary approach to the study of epistemic relations.