Intelligence agents (knowledge management)

Reports some insights into knowledge management (KM) derived from UK one-day workshops with six businesses, three non-profits and one public sector organization. Lists the four questions posed to participants and discusses the themes which emerged, e.g. the need for a KM strategy to make raw information more useable, KM performance measurement etc. Stresses the need for commitment from a top-level champion and a wide range of employees to make this work and identifies three types of solutions for improving KM strategy: technological (e.g. databases and intranets), people (e.g. motivation, retention, training and networking) and processes (e.g. procedural instructions and balancing formal/informal knowledge sharing methods). Finds that accountants and senior managers do not generally see KM as very important but argues that management accountants are suitable knowledge champions who could develop explicit links between KM and organizational performance.

Predicting general well-being from emotional intelligence and three broad personality traits

This paper examined the joint predictive effects of trait emotional intelligence (trait-EI), Extraversion, Conscientiousness, and Neuroticism on 2 facets of general well-being and job satisfaction. An employed community sample of 123 individuals from the Indian subcontinent participated in the study, and completed measures of the five-factor model of personality, trait-EI, job satisfaction, and general well-being facets worn-out and up-tight. Trait-EI was related but distinct from the 3 personality variables. Trait-EI demonstrated the strongest correlation with job satisfaction, but predicted general well-being no better than Neuroticism. In regression analyses, trait-EI predicted between 6% and 9% additional variance in the well-being criteria, beyond the 3 personality traits. It was concluded that trait-EI may be useful in examining dispositional influences on psychological well-being.

Effect of support and cultural intelligence on the adjustment and performance of expatriates and their family members in Malaysia

Theory suggests that people fear the unknown and no matter how experienced one is, the feelings of anxiety and uncertainty, if not managed well would affect how we view ourselves and how others view us. Hence, it is in human nature to engage in activities to help decipher behaviours that seem contrary to their beliefs and hinder the smooth-flowing of their work and daily activities. Building on these arguments, this research investigates the two types of support that are provided by multinational corporations (MNCs) and host country nationals (HCNs) to the expatriates and their family members whilst on international assignments in Malaysia as antecedents to their adjustment and performance in the host country. To complement the support provided, cultural intelligence (CQ) is investigated to explain the influence of cultural elements in facilitating adjustment and performance of the relocating families, especially to socially integrate into the host country. This research aims to investigate the influence of support and CQ on the adjustment and performance of expatriates in Malaysia. Path analyses are used to test the hypothesised relationships. The findings substantiate the pivotal roles that MNCs and HCNs play in helping the expatriates and their families acclimatise to the host country. This corroborates the norm of reciprocity where assistance or support rendered especially at the times when they were crucially needed would be reciprocated with positive behaviour deemed of equal value. Additionally, CQ is significantly positive in enhancing adjustment to the host country, which highlights the vital role that cultural awareness and knowledge play in enhancing effective intercultural communication and better execution of contextual performance. The research highlights the interdependence of the expatriates? multiple stakeholders (i.e. MNCs, HCNs, family members) in supporting the expatriates whilst on assignments. Finally, the findings reveal that the expatriate families do influence how the locals view the families and would be a great asset in initiating future communication between the expatriates and HCNs. The research contributes to the fields of intercultural adjustment and communication and also has key messages for policy makers.

Trait emotional intelligence facilitates responses to a social gambling task

The present study examines facilitative effects of trait emotional intelligence on decision making in a socially moderated, financial context. One hundred participants completed the trait emotional intelligence questionnaire and a computerised gambling card game, designed to simulate financial decision making. The results show that participants scoring high on the sociability factors made significantly better decisions in certain card game conditions compared to lower scoring counterparts. Results are discussed in light of dual-process theories.

Semantic linking through spaces for cyber-physical-socio intelligence:a methodology

Humans consciously and subconsciously establish various links, emerge semantic images and reason in mind, learn linking effect and rules, select linked individuals to interact, and form closed loops through links while co-experiencing in multiple spaces in lifetime. Machines are limited in these abilities although various graph-based models have been used to link resources in the cyber space. The following are fundamental limitations of machine intelligence: (1) machines know few links and rules in the physical space, physiological space, psychological space, socio space and mental space, so it is not realistic to expect machines to discover laws and solve problems in these spaces; and, (2) machines can only process pre-designed algorithms and data structures in the cyber space. They are limited in ability to go beyond the cyber space, to learn linking rules, to know the effect of linking, and to explain computing results according to physical, physiological, psychological and socio laws. Linking various spaces will create a complex space — the Cyber-Physical-Physiological-Psychological-Socio-Mental Environment CP3SME. Diverse spaces will emerge, evolve, compete and cooperate with each other to extend machine intelligence and human intelligence. From multi-disciplinary perspective, this paper reviews previous ideas on various links, introduces the concept of cyber-physical society, proposes the ideal of the CP3SME including its definition, characteristics, and multi-disciplinary revolution, and explores the methodology of linking through spaces for cyber-physical-socio intelligence. The methodology includes new models, principles, mechanisms, scientific issues, and philosophical explanation. The CP3SME aims at an ideal environment for humans to live and work. Exploration will go beyond previous ideals on intelligence and computing.

The success of technical college students in relation to scores on attitude, personality and intelligence tests

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Cultural intelligence as a predictor of expatriate adjustment and performance in Malaysia

This research tests the linkage between cultural intelligence, expatriate adjustment to the host country's environment and expatriate performance while on international assignments. The investigation is carried out with data from 134 expatriates based in multinational corporations in Malaysia. The results highlight a direct influence of expatriates' cultural intelligence on general, interaction and work adjustments. The improved adjustments consequently have positive effects on both the expatriates' task and contextual performance. The research findings have implications for both international human resource management (IHRM) researchers and managers. © 2012 Elsevier Inc.

Words and intelligence II:essays in honor of Yorick Wilks

Yorick Wilks is a central figure in the fields of Natural Language Processing and Artificial Intelligence. His influence has extends to many areas of these fields and includes contributions to Machine Translation, word sense disambiguation, dialogue modeling and Information Extraction.This book celebrates the work of Yorick Wilks from the perspective of his peers. It consists of original chapters each of which analyses an aspect of his work and links it to current thinking in that area. His work has spanned over four decades but is shown to be pertinent to recent developments in language processing such as the Semantic Web.This volume forms a two-part set together with Words and Intelligence I, Selected Works by Yorick Wilks, by the same editors.

Evaluating the performance of a EuroDivisia index using artificial intelligence techniques

We compare two methods in order to predict inflation rates in Europe. One method uses a standard back propagation neural network and the other uses an evolutionary approach, where the network weights and the network architecture is evolved. Results indicate that back propagation produces superior results. However, the evolving network still produces reasonable results with the advantage that the experimental set-up is minimal. Also of interest is the fact that the Divisia measure of money is superior as a predictive tool over simple sum.

Evaluating the performance of a EuroDivisia index using artificial intelligence techniques

This paper compares two methods to predict in°ation rates in Europe. One method uses a standard back propagation neural network and the other uses an evolutionary approach, where the network weights and the network architecture are evolved. Results indicate that back propagation produces superior results. However, the evolving network still produces reasonable results with the advantage that the experimental set-up is minimal. Also of interest is the fact that the Divisia measure of money is superior as a predictive tool over simple sum.

The relationship between student-centred lectures, emotional intelligence, and study teams:a social telemetry study with mobile telephony

A student-centred approach to teaching has been conceptualized as a key driver in higher education to facilitate understanding of concepts and improve attainment. The occurrence of student study team behaviours is diagnostic of this approach to teaching. However, the extent to which team behaviours are performed outside the parameters of formal teacher-learner environments remains under-researched. This is problematic as it is unclear whether study teams are maintained outside the confines of lectures, and the extent to which they impact on individual student grades. A naturalistic observational study was carried out that utilized short message text service communication as a means to record the frequency of team behaviours within informal environments. The findings suggest the frequency of team behaviours: 1) were positively associated with student grades; 2) increased after lectures independently rated as low in employing a student-centred focus; and 3) were facilitated by students' trait emotional intelligence.

Application of the Artificial Intelligence Algorithms for System Analysis of Multi Dimension Physiological Data for Developing Polyparametric Information System of Public Health Diagnostics

The polyparametric intelligence information system for diagnostics human functional state in medicine and public health is developed. The essence of the system consists in polyparametric describing of human functional state with the unified set of physiological parameters and using the polyparametric cognitive model developed as the tool for a system analysis of multitude data and diagnostics of a human functional state. The model is developed on the basis of general principles geometry and symmetry by algorithms of artificial intelligence systems. The architecture of the system is represented. The model allows analyzing traditional signs - absolute values of electrophysiological parameters and new signs generated by the model – relationships of ones. The classification of physiological multidimensional data is made with a transformer of the model. The results are presented to a physician in a form of visual graph – a pattern individual functional state. This graph allows performing clinical syndrome analysis. A level of human functional state is defined in the case of the developed standard (“ideal”) functional state. The complete formalization of results makes it possible to accumulate physiological data and to analyze them by mathematics methods.

Application of Artificial Intelligence Methods to Computer Design of Inorganic Compounds

In this paper the main problems for computer design of materials, which would have predefined properties, with the use of artificial intelligence methods are presented. The DB on inorganic compound properties and the system of DBs on materials for electronics with completely assessed information: phase diagram DB of material systems with semiconducting phases and DB on acousto-optical, electro-optical, and nonlinear optical properties are considered. These DBs are a source of information for data analysis. Using the DBs and artificial intelligence methods we have predicted thousands of new compounds in ternary, quaternary and more complicated chemical systems and estimated some of their properties (crystal structure type, melting point, homogeneity region etc.). The comparison of our predictions with experimental data, obtained later, showed that the average reliability of predicted inorganic compounds exceeds 80%. The perspectives of computational material design with the use of artificial intelligence methods are considered.

Formal Definition of Artificial Intelligence

* This publication is partially supported by the KT-DigiCult-Bg project.