Applying Zheleznogorsk Robotics for Learning Children with Disabilities

Khnykin, A. V.; Laletin, Nikolay Viktorovich; Uglev, Viktor

doi:10.1007/978-3-642-21303-8_23

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…These results confirm the hypothesis of studies that the competence assess is available in the automated mode. At the same time the estimates source may be not only a set of tests, but also exercises in virtual laboratories, in robotic educational stands (Khnykin et al 2011), and in program-mathematical models (Uglev 2013). …”

Section: Results and Conclusionmentioning

confidence: 99%

Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection

Pérez¹,

Corchado²,

Mathieu³

et al. 2014

Advances in Intelligent Systems and Computing

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The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing.The publications within "Advances in Intelligent Systems and Computing" are primarily textbooks and proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results. Advisory BoardChairman Nikhil R. Pal,

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Section: Results and Conclusionmentioning

confidence: 99%

Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection

Pérez¹,

Corchado²,

Mathieu³

et al. 2014

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

show abstract

“…Development of learning models of the brain at the first place is based on ideas brought from neuroinformatics [18] which is one of subareas of AI. Simulation can be run on specialized equipment (for example an analog scheme Anadigm AN221E04 can be used), as well as with use of standard computers which, in turn can significantly simplify development and deployment of system for simulation of neuronal networks (for reference sake, modified version of Neuron software which can be run on all main operation systems is used by the Blue Brain project, http://www.neuron.yale.edu/).…”

Section: Technical and Technological Solutionsmentioning

confidence: 99%

Automated Education: Tendency for Scientific Approaches Convergence

Uglev¹,

Sukhinin²

2014

Advances in Intelligent Systems Research

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-In this paper we discussing the possibility of the complex use of advances in area of pedagogic, psychology, neuroscience and informatics for the creation of teaching and learned systems of new generation. It is shown that the theoretical basis of automated education people (educational systems and programmathematical models) and machines (neural network simulation and intellectual robotic systems) can be integrated into a new scientific direction.

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The New Competencies Development Level Expertise Method within Intelligent Automated Educational Systems

Uglev

Ustinov

2014

Advances in Intelligent Systems and Computing

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Applying Zheleznogorsk Robotics for Learning Children with Disabilities

Cited by 4 publications

References 3 publications

Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection

Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection

Automated Education: Tendency for Scientific Approaches Convergence

The New Competencies Development Level Expertise Method within Intelligent Automated Educational Systems

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