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IEEE International Symposium on Intelligent Control (ISIC)

作者： A.A. Zhdanov A.N. Yinokurov Simulation Systems Department Institute for System Programming Russian Academy of Science Moscow Russia

We offer a standpoint that emotions are a necessary mechanism for autonomous control systems. By an autonomous controlled object we understand an object, that is controlled by a control system which is its on-board subsystem. The control system performs learning and control in one process. We develop a methodology of autonomous adaptive control (AAC), that allows us to construct a control system for a given controlled object. As the control goals we take the controlled object survival and the knowledge accumulation. As a whole these goals bring maximization of the controlled object lifetime. We suggest an emotions modeling mechanism (EM). We give the description of its functions and their implementation in AAC methodology. These functions are: (1) a compulsion of the control system for activity; (2) an appreciation of the CO current state at its quality; (3) an appreciation of the formed patterns and their usefulness for control goals; (4) an influence on tempo and depth of reasoning of decision making in current state; (5) providing the decision making subsystem with emotional appraisals of the recognized patterns; (6) providing transfer of information on patterns of emotional appraisals simultaneously with information on the patterns while the organism interacts with another organism.

关键词： Adaptive control Control systems Nervous system Organisms Feedback Appraisal Decision making Autonomous agents Learning Process control

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About an autonomous adaptive control methodology

About an autonomous adaptive control methodology

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IEEE International Symposium on Intelligent Control (ISIC)

作者： A.A. Zhdanov Simulation Systems Department Institute for System Programming Russian Academy of Science Moscow Russia

We present the basis of the original autonomous adaptive control (AAC) methodology. It is an approach to the design of intelligent systems that simulate structure and functions of the nervous system and brain. The AAC methodology idea is that structure and functions of the nervous system are forced to follow the control system conditions at an initial moment. The initial conditions are: (a) the control system (CS) is a discrete device; (b) the CS is located inside of the controlled object; (c) the CS has minimum initial knowledge. We briefly described the AAC CS structure and functions. The AAC CS can be made, for example, in neural networks form.

关键词： Adaptive control Control systems Nervous system Intelligent systems Organisms Brain modeling Electronic mail World Wide Web Intelligent structures Force control

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A Case Study of Valency Patterns for Motion Verbs in Vakh Khanty by Means of Lingvodoc

A Case Study of Valency Patterns for Motion Verbs in Vakh Kh...

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2022 Ivannikov Open Conference, ISPRAS 2022

作者： Novitskaya, Irina Vorobeva, Victoria National Research Tomsk State University Department of Foreign Languages Tomsk Russia Ivannikov Institute for System Programming of the Ras Information Systems Department Tomsk Moscow Russia Tpu Information Systems Department Tomsk Moscow Russia

ISBN: (纸本)9798350398533

The article presents a study of the syntactic compatibility of verbs of motion in the Vakh dialect of the Khanty language. The study was conducted with the help of the tools of the platform for documentation of the Uralic languages Lingvodoc. The purpose of the article is to describe patterns of syntactic valency that Vakh Khanty verbs of motion have. © 2022 IEEE.

关键词： Syntactics

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A systems engineering approach to modeling and simulating software training management efforts

A systems engineering approach to modeling and simulating so...

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25th European Modeling and simulation Symposium, EMSS 2013

作者： Akbas, Asli Soyler Karwowski, Waldemar Institute for Simulation and Training United States Institute for Advanced System Engineering United States Department of Industrial Engineering and Management Systems University of Central Florida Orlando FL United States

ISBN: (纸本)9788897999225

Although being directly affected by the fluctuations in complex adaptive systems such as knowledge transfer, and economy, technology training within organizations, are managed as independent projects, furthermore causing critical information, as requirements and scope changes, being failed to be shared. This existing approach, forces only current status to be used with discrete data in decision making rather than evaluating the continuous behavior of the training process integrated with possible future environmental conditions. The purpose of this paper is to initiate the design of a model for understanding the behavior of complex technology training management system (TTMS). Recognizing the process as adaptive and continuous, this paper captures the ongoing efforts to simulating training management efforts that can support organizations in critical decision making, and requirements and risk management using system dynamics and agent-based simulation designed with model-based system engineering approach. © 2013 DIME UNIVERSITÀ DI GENOVA.

关键词： Decision making

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A model-based approach to modeling a hybrid simulation platform (Work in Progress)

A model-based approach to modeling a hybrid simulation platf...

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2014 Symposium on Theory of Modeling and simulation - DEVS Integrative M and S Symposium, DEVS 2014;2014 Spring simulation Multi-Conference, SpringSim 2014

作者： Akbas, Asli Soyler Mykoniatis, Konstantinos Angelopoulou, Anastasia Karwowski, Waldemar Institute for Simulation and Training United States Institute for Advanced System Engineering United States Department of Industrial Engineering and Management Systems University of Central Florida Orlando FL United States

ISBN: (纸本)9781632662156

The availability of large data and immense improvements in technology have extended the modeling capabilities. As the intricacy of the simulated systems has been increasing, challenges in the process of modeling also emerged due to complexities hidden in different levels of the system. The purpose of this paper is to initiate the design of a framework for extrapolating a hybrid simulation model, composed of agent-based and system dynamics models, from its model-based architecture designed using systems Modeling Language (SysML). The process is recognized as complex adaptive and a software training management system (STMS) is selected to demonstrate the initial research findings. Furthermore, the ongoing efforts to develop the simulation model of STMS, which can support organizations in critical decision making, and requirements and risk management, using a modelbased systems engineering approach.

关键词： Modeling languages

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Keyterm extraction from microblogs' messages using Wikipedia-based keyphraseness measure

Keyterm extraction from microblogs' messages using Wikipedia...

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International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)

作者： Anton Korshunov Information Systems Department The Institute for System Programming Russian Academy of Sciences Moscow Russia

The paper describes a method for keyterm extraction from messages of microblogs. The described approach utilizes the information obtained by the analysis of structure and content of Wikipedia. The algorithm is based on computation of “keyphraseness” measure for each term, i.e. an estimation of probability that it can be selected as a key in the text. The experimental study of the proposed technique demonstrated satisfactory results which significantly outpaces analogues. As a demonstration of possible application of the algorithm, the prototype of context-sensitive advertising system has been implemented. This system is able to obtain the descriptions of the goods relevant to the found keyterms from Amazon online store. Several suggestions are also made on how to utilize the information obtained by the analysis of Twitter messages in different auxiliary services.

关键词： Twitter Internet Blogs Encyclopedias Electronic publishing Databases

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Method of Activity of Intelligent Agent for Semantic Analysis of Software Requirements

Method of Activity of Intelligent Agent for Semantic Analysi...

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IEEE International Conference on Intelligent Data Acquisition and Advanced Computing systems

作者： Olga Pavlova Tetiana Hovorushchenko Artem Boyarchuk System Programming Department of Khmelnytsky National University Computer Engineering & System Programming Department of Khmelnytsky National University Lecturer of Computer Systems Networks and Cybersecurity Department of National Aerospace University "Kharkiv Aviation Institute"

ISBN: (纸本)9781728140704

The paper deals with the development of the method of activity and the realization of the intelligent agent (IA) for semantic analysis of the natural language software requirements. This IA performs the analysis of the requirements, determines the number and percentage of missing indicators for determining the metrics of complexity and quality of software, displays which indicators are missing for each metric, and also forms the real ontology of the domain "Software Engineering" (part "Quality and complexity of software. Metric analysis"). During an experiment, which is conducted with the help of the realized IA, the semantic analysis of requirements for the Internet of Things (IoT)-system was performed. Such analysis provides an increase of the volume and ensures of the sufficiency of metric information in the software requirements, which, in turn, provides an improvement in the quality of the software of IoT-system.

关键词： Natural language software requirements Semantic analysis Intelligent agent (IA) Ontology-based intelligent agent (OBIA) Internet of things (IoT)-system software requirements Intelligent agents Semantics Metronidazole activity INFORMATION ASSURANCE Metric computer software

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The PLATO mission

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Experimental Astronomy 2025年第3期59卷 1-111页

作者： Rauer, Heike Aerts, Conny Cabrera, Juan Deleuil, Magali Erikson, Anders Gizon, Laurent Goupil, Mariejo Heras, Ana Walloschek, Thomas Lorenzo-Alvarez, Jose Marliani, Filippo Martin-Garcia, César Mas-Hesse, J. Miguel O’Rourke, Laurence Osborn, Hugh Pagano, Isabella Piotto, Giampaolo Pollacco, Don Ragazzoni, Roberto Ramsay, Gavin Udry, Stéphane Appourchaux, Thierry Benz, Willy Brandeker, Alexis Güdel, Manuel Janot-Pacheco, Eduardo Kabath, Petr Kjeldsen, Hans Min, Michiel Santos, Nuno Smith, Alexis Suarez, Juan-Carlos Werner, Stephanie C. Aboudan, Alessio Abreu, Manuel Acuña, Lorena Adams, Moritz Adibekyan, Vardan Affer, Laura Agneray, François Agnor, Craig Aguirre Børsen-Koch, Victor Ahmed, Saad Aigrain, Suzanne Al-Bahlawan, Ashraf Alcacera Gil, Ma de los Angeles Alei, Eleonora Alencar, Silvia Alexander, Richard Alfonso-Garzón, Julia Alibert, Yann Allende Prieto, Carlos Almeida, Leonardo Alonso Sobrino, Roi Altavilla, Giuseppe Althaus, Christian Alvarez Trujillo, Luis Alonso Amarsi, Anish Ammler-von Eiff, Matthias Amôres, Eduardo Andrade, Laerte Antoniadis-Karnavas, Alexandros António, Carlos Aparicio del Moral, Beatriz Appolloni, Matteo Arena, Claudio Armstrong, David Aroca Aliaga, Jose Asplund, Martin Audenaert, Jeroen Auricchio, Natalia Avelino, Pedro Baeke, Ann Baillié, Kevin Balado, Ana Ballber Balagueró, Pau Balestra, Andrea Ball, Warrick Ballans, Herve Ballot, Jerome Barban, Caroline Barbary, Gaële Barbieri, Mauro Barceló Forteza, Sebastià Barker, Adrian Barklem, Paul Barnes, Sydney Barrado Navascues, David Barragan, Oscar Baruteau, Clément Basu, Sarbani Baudin, Frederic Baumeister, Philipp Bayliss, Daniel Bazot, Michael Beck, Paul G. Belkacem, Kevin Bellinger, Earl Benatti, Serena Benomar, Othman Bérard, Diane Bergemann, Maria Bergomi, Maria Bernardo, Pierre Biazzo, Katia Bignamini, Andrea Bigot, Lionel Billot, Nicolas Binet, Martin Biondi, David Biondi, Federico Birch, Aaron C. Bitsch, Bertram Bluhm Ceballos, Paz Victoria Bódi, Attila Bognár, Zsófia Boisse, Isabelle Bolmont, Emeline Bonanno, Alfio Bonavita, Institut für Planetenforschung Deutsches Zentrum für Luft- und Raumfahrt DLR Rutherfordstrasse 2 Berlin 12489 Germany Fachbereich Geowissenschaften Institut für Geologische Freie Universität Berlin Malteserstr. 74-100 Berlin 12249 Germany Institute of Astronomy KU Leuven Leuven Belgium CNRS CNES LAM Aix Marseille University Marseille France Max Planck Institute for Solar System Research Göttingen Germany LESIA Paris Observatory PSL University Sorbonne University Paris Cité University CNRS Meudon France ESTEC European Space Agency Noordwijk Netherlands ESAC European Space Agency Madrid Spain Centro de Astrobiología CSIC-INTA Campus ESAC Madrid Spain Center for Space and Habitability University of Bern Bern Switzerland INAF - Osservatorio Astrofisico di Catania Catania Italy Department of Physics and Astronomy University of Padua Padua Italy Department of Physics University of Warwick Coventry United Kingdom Astronomical Observatory of Padova INAF - Italian National Institute for Astrophysics Padua Italy Armagh Observatory and Planetarium College Hill Armagh United Kingdom Geneve Observatory University of Geneve Geneve Switzerland IAS University of Paris-Saclay Orsay France AlbaNove University Centre Stockholm University Stockholm Sweden Department of Astrophysics University of Vienna Vienna Austria Department of Astronomy University of Sao Paulo Sao Paulo Brazil Astronomical Institute of the Czech Academy of Sciences Ondřejov Czech Republic Department of Physics and Astronomy Aarhus University Aarhus Denmark Institute for Space Research SRON Leiden Netherlands Instituto de Astrofísica e Ciências do Espaço CAUP Universidade do Porto Porto Portugal Departamento de Física e Astronomia Faculdade da Ci ncias Universidade do Porto Porto Portugal Mullard Space Science Laboratory University College London Holmbury Saint Mary United Kingdom Dept. Theoretical Physics and the Cosmos University of Granada Granada Spain Centre for Plan

PLATO (PLAnetary Transits and Oscillations of stars) is ESA’s M3 mission designed to detect and characterise extrasolar planets and perform asteroseismic monitoring of a large number of stars. PLATO will detect small planets (down to <2REarth) around bright stars (<11 mag), including terrestrial planets in the habitable zone of solar-like stars. With the complement of radial velocity observations from the ground, planets will be characterised for their radius, mass, and age with high accuracy (5%, 10%, 10% for an Earth-Sun combination respectively). PLATO will provide us with a large-scale catalogue of well-characterised small planets up to intermediate orbital periods, relevant for a meaningful comparison to planet formation theories and to better understand planet evolution. It will make possible comparative exoplanetology to place our Solar system planets in a broader context. In parallel, PLATO will study (host) stars using asteroseismology, allowing us to determine the stellar properties with high accuracy, substantially enhancing our knowledge of stellar structure and evolution. The payload instrument consists of 26 cameras with 12cm aperture each. For at least four years, the mission will perform high-precision photometric measurements. Here we review the science objectives, present PLATO‘s target samples and fields, provide an overview of expected core science performance as well as a description of the instrument and the mission profile towards the end of the serial production of the flight cameras. PLATO is scheduled for a launch date end 2026. This overview therefore provides a summary of the mission to the community in preparation of the upcoming operational phases. © The Author(s) 2025.

关键词： Asteroseismology Exoplanets PLATO mission

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A system-of-systems architecture-driven modeling method for combat system effectiveness simulation 2

A system-of-systems architecture-driven modeling method for ...

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2nd Annual IEEE International Symposium on systems Engineering, ISSE 2016

作者： Li, Xiaobo Wang, Weiping Shu, Zhe Zhu, Ning He, Hua Liao, Tianjun College of Information Systems and Management National University of Defense Technology Changsha Hunan410073 China Department of Mathematics and Computer Science University of Antwerp Antwerp2020 Belgium State Key Laboratory of Complex System Simulation Beijing Institute of Systems Engineering Beijing China

ISBN: (纸本)9781509007936

Under the background of system-of-systems (SoS) counterwork, it is more apparent that the simulation modeling of the equipment should be domain-specific, formal, automatic and composable. Current equipment effectiveness simulation modeling approaches are mainly based on the methods and techniques from the modeling and simulation (M&S) community and software engineering community, and they are not capable to satisfy these four requirements systematically. Thus the systems engineering architecture model and domain knowledge should be used to support effectiveness simulation modeling more effectively. In this research, we propose an architecture-driven modeling method which conforms to the principle of architecture-driven development, uses ontology techniques to build equipment SoS architecture model and sub-domain ontology. This method performs architecture driven simulation modeling to realize the transformation from architecture models to simulation model frameworks;employs ontological metamodeling to design domain-specific modeling languages (DSML) based on the comprehensive usage of architecture models, sub-domain ontologies and M&S formalisms;integrates domain-specific simulation models from various domains using the model framework, and supports the composable development of simulation applications. © 2016 IEEE.

关键词： system of systems

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Virtual humans for interpersonal and communication skills' training in crime investigations

Virtual humans for interpersonal and communication skills' t...

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6th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014

作者： Mykoniatis, Konstantinos Angelopoulou, Anastasia Proctor, Michael D. Karwowski, Waldemar Modeling and Simulation Graduate Program University of Central Florida Orlando FL 32816 United States Institute for Advance System Engineering Department of Industrial Engineering and Management Systems University of Central Florida Orlando FL 32816 United States

ISBN: (纸本)9783319074573

Virtual Humans (VHs) have been employed in multidisciplinary fields to advance interpersonal skills critical to many professional, including law enforcement agents, military personnel, managers, doctors, lawyers and other professionals. Law enforcement agencies in particular have faced a growing need to develop human to human interpersonal training to increase interviewing and interrogation skills. In this paper, we present a prototype VE that has been developed to provide law enforcement agents with effective interview and interrogation training and experiential learning. The virtual training environment will need to be tested and formally evaluated to verify the benefits compared to live exercises and traditional training techniques. © 2014 Springer International Publishing.

关键词： Personnel training

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