Dynamiс Planning in Spacecraft Approaching and Docking Control

In this paper problems o f spacecraft control automatization on the stages of approaching and docking are considered. For sohing these problems, we are offer using onboard scheduler, based on rules. Onboard scheduler, based on dynamie planning methods, developing in artificial intelligence researches, is integrated with global knowledge-base, including empirical, experimental and other rules. Also scheduler consider discrete and continuous components interaction

The cognitive revolution in Europe: taking the developmental perspective seriously

We can do little but to share Miller’s view [1] that cognitive psychology was born in the 1950s. However, his article distorts the role of psychology in the birth of cognitive science. On two occasions, Miller proposes that psychology could not play a role in the cognitive revolution because of its narrow focus on behaviorism

Digital Transformation of HR Technologies

This article involves a study of the personnel management technologies digitalization degree based on the results of the SAP, Deloitte and Hays report, published in 2019. The analysis demonstrated HR automatization dependence on the size and specialization of organizations. The larger the company, the more complex personnel management processes are. The article defines four digitalization levels from the paper approach to the active use of artificial intelligence systems. Industries with the highest automatization percentage are identified. The article takes a closer look at personnel recruitment, selection, adaptation and training practices performed with the use of appropriate tools and programs. Among the most laborious recruitment functions stand communication with potential candidates, testing and interviewing, especially in cases of mass recruitment. Specialized programs that process CVs, build ratings, conduct video interviews and online testing to optimize recruiter’s work. The advantages of chatbots and messengers for adaptation digitalization are pointed out. Most executives have a positive attitude to the transition to new automated HR methods. The role of e-learning and software training is outlined, and the advantages of webinars, test constructors, and distance learning implementation are analyzed. It is noted that one third of Russian companies are actively automatizing employee training and development technologies. The article also highlights the most important personnel management processes that demand digital transformation in the first place. The automatization necessity of management accounting, effectiveness analysis of the current HR system, and benefits calculation is justified. Gamification advantages are outlined, as they are used in adaptation, training and personnel assessment processes. Senior management, HR executives and information services role in moving to a new level of personnel management is emphasized. VTB, VTB 24 and Sberbank spendings on automated HR systems are reasoned. Conclusions on the need to invest in digital transformation of HR processes are drawn. Keywords: personnel management, technologies, digitalization, proces

Artificial intelligence in the travel & tourism industry adoption and impact

The following thesis evaluates the current adoption level and shows the potential impact of artificial intelligence systems in the travel and tourism industry. The focus of the work project lies on current AI applications such as chat bots or robots and their usage along the traveler journey. The evaluation of the current adoption is based on a collection of use cases. The impact evaluation is based on expert discussions and opinions. In both cases the results of third party studies are also included. The purpose of the work is to give the management and owners a guidance how to handle artificial intelligence in their travel and tourism business

Laruelle Qua Stiegler: On Non-Marxism and the Transindividual

Alexander R. Galloway and Jason R. LaRiviére’s article “Compression in Philosophy” seeks to pose François Laruelle’s engagement with metaphysics against Bernard Stiegler’s epistemological rendering of idealism. Identifying Laruelle as the theorist of genericity, through which mankind and the world are identified through an index of “opacity,” the authors argue that Laruelle does away with all deleterious philosophical “data.” Laruelle’s generic immanence is posed against Stiegler’s process of retention and discretization, as Galloway and LaRiviére argue that Stiegler’s philosophy seeks to reveal an enchanted natural world through the development of noesis. By further developing Laruelle and Stiegler’s Marxian projects, I seek to demonstrate the relation between Stiegler's artefaction and “compression” while, simultaneously, I also seek to create further bricolage between Laruelle and Stiegler. I also further elaborate on their distinct engagement(s) with Marx, offering the mold of synthesis as an alternative to compression when considering Stiegler’s work on transindividuation. In turn, this paper seeks to survey some of the contemporary theorists drawing from Stiegler (Yuk Hui, Al-exander Wilson and Daniel Ross) and Laruelle (Anne-Françoise Schmidt, Gilles Grelet, Ray Brassier, Katerina Kolozova, John Ó Maoilearca and Jonathan Fardy) to examine political discourse regarding the posthuman and non-human, with a particular interest in Kolozova’s unified theory of standard philosophy and Capital

Hybrid Artificial Intelligence System for the Design of Highly-Automated Production Systems

The automated design of production systems is a young field of research which has not been widely explored by industry nor research in recent decades. Currently, the effort spent in production system design is increasing significantly in automotive industry due to the number of product variants and product complexity. Intelligent methods can support engineers in repetitive tasks and give them more opportunity to focus on work which requires their core competencies. This paper presents a novel artificial intelligence methodology that automatically generates initial production system configurations based on real industrial scenarios in the automotive field of body-in-white production. The hybrid methodology reacts flexibly against data sets of different content and has been implemented in a software prototype

Current achievements and future developments of a novel AI based visual monitoring of beehives in ecotoxicology and for the monitoring of landscape structures

Honey bees are valuable bioindicators. As such, they hold a vast potential to help shed light on the extent and interdependencies of factors influencing the decline in the number of insects. However, to date this potential has not yet been fully leveraged, as the production of reliable data requires large-scale study designs, which are very labour intensive and therefore costly. A novel Artificial Intelligence (AI) based visual monitoring system could enable the partial automatization of data collection on activity, forager loss and impairment of the central nervous system. The possibility to extract features from image data could prospectively also allow an assessment of pollen intake and a differentiation of dead bees, drones and worker bees as well as other insects such as wasps or hornets. The technology was validated in different studies with regards to its scalability and its ability to extract motion and feature related information. The prospective possibilities were analyzed regarding their potential to enable advances both within ecotoxicological research and the monitoring of pollinator habitats.Honey bees are valuable bioindicators. As such, they hold a vast potential to help shed light on the extent and interdependencies of factors influencing the decline in the number of insects. However, to date this potential has not yet been fully leveraged, as the production of reliable data requires large-scale study designs, which are very labour intensive and therefore costly. A novel Artificial Intelligence (AI) based visual monitoring system could enable the partial automatization of data collection on activity, forager loss and impairment of the central nervous system. The possibility to extract features from image data could prospectively also allow an assessment of pollen intake and a differentiation of dead bees, drones and worker bees as well as other insects such as wasps or hornets. The technology was validated in different studies with regards to its scalability and its ability to extract motion and feature related information. The prospective possibilities were analyzed regarding their potential to enable advances both within ecotoxicological research and the monitoring of pollinator habitats

Grapheme-phoneme learning in an unknown orthography: a study in typical reading and dyslexic children

In this study, we examined the learning of new grapheme-phoneme correspondences in individuals with and without dyslexia. Additionally, we investigated the relation between grapheme-phoneme learning and measures of phonological awareness, orthographic knowledge and rapid automatized naming, with a focus on the unique joint variance of grapheme-phoneme learning to word and non-word reading achievement. Training of grapheme-phoneme associations consisted of a 20-min training program in which eight novel letters (Hebrew) needed to be paired with speech sounds taken from the participant's native language (Dutch). Eighty-four third grade students, of whom 20 were diagnosed with dyslexia, participated in the training and testing. Our results indicate a reduced ability of dyslexic readers in applying newly learned grapheme-phoneme correspondences while reading words which consist of these novel letters. However, we did not observe a significant independent contribution of grapheme-phoneme learning to reading outcomes. Alternatively, results from the regression analysis indicate that failure to read may be due to differences in phonological and/or orthographic knowledge but not to differences in the grapheme-phoneme-conversion process itself