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Author

  • Troitzsch, Klaus G. (13) (remove)

Year of publication

  • 2011 (9)
  • 1993 (1)
  • 2004 (1)
  • 2012 (1)
  • 2013 (1)

Document Type

  • Part of Periodical (9)
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Keywords

  • computer clusters (4)
  • parallel algorithms (3)
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  • artifcial neural networks (2)
  • artificial neural networks (2)
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  • E-government (1)
  • E-services (1)
  • ECMS 2012 (1)
  • Emergenz (1)
  • European Conference on Modelling and Simulation (1)
  • Healthcare institution (1)
  • Internet (1)
  • Katastrophentheorie (1)
  • Neuronales Netz (1)
  • Proceedings (1)
  • Quality assessment system (1)
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  • Statistics , Social Science Methods (1)
  • Statistik (1)
  • Website (1)
  • Wechselkursänderung (1)
  • activation functions of neurons (1)
  • adaptive resonance theory (1)
  • agent-based simulation (1)
  • artiffficial neural networks (1)
  • artififfcial neural networks (1)
  • assessment model (1)
  • blood analysis (1)
  • catastrophy theory (1)
  • chaos (1)
  • classification (1)
  • currency exchange rates (1)
  • e-service (1)
  • e-service quality (1)
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  • estimation of algorithm efficiency (1)
  • gradient method of training weight coefficients (1)
  • information system (1)
  • mathematical model (1)
  • methodology (1)
  • norm (1)
  • parallel calculations (1)
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  • simulation (1)
  • social object (1)
  • social simulation (1)
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  • time series (1)
  • web-portal medical e-services (1)
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Institute

  • Fachbereich 4 (11)
  • Institut für Wirtschafts- und Verwaltungsinformatik (8)

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Catastrophe, Chaos and Self-Organization in Social Systems Invited Papers of a Seminar Series on Catastrophic Phenomena in Soviet Society and Self-Organized Behaviour of Social Systems Held at the Institute of Sociology of the Academy of Sciences of the Ukrainian Republic Kiev, September 4 to 11, 1992 (1993)
Troitzsch, Klaus G.
From September 4 to 11, 1992, a fiirst meeting between Ukrainian and German scientists interested in mathematical and computer modeling of social processes was held at Vorzel' near Kiev. The meeting had been planned for nearly three years by Igor V. Chernenko and Mikhail V. Kuz'min, then members of the research group on mathematical modeling in sociology at the Institute of Sociology of the Academy of Science of the Ukrainian Republic, and had to be postponed twice due to the political development in the former Soviet Union, but thanks to the organizers' perseverance (and in spite of a strike of the airport personell at Kiev Borispol Airport on the eve of the conference) the conference could at last be realized.rnThe main purpose of the conference was to discuss a synergetic interpretation of large-scale destructive social processes as catastrophic phenomena in self-organized systems.
Simulating collaborative writing: Software agents produce a wikipedia (2013)
Troitzsch, Klaus G.
This paper originates from the FP6 project "Emergence in the Loop (EMIL)" which explores the emergence of norms in artificial societies. Part of work package 3 of this project is a simulator that allows for simulation experiments in different scenarios, one of which is collaborative writing. The agents in this still prototypical implementation are able to perform certain actions, such as writing short texts, submitting them to a central collection of texts (the "encyclopaedia") or adding their texts to texts formerly prepared by other agents. At the same time they are able to comment upon others' texts, for instance checking for correct spelling, for double entries in the encyclopaedia or for plagiarisms. Findings of this kind lead to reproaching the original authors of blamable texts. Under certain conditions blamable activities are no longer performed after some time.
Proceedings 26th European Conference on Modelling and Simulation ECMS 2012 (2012)
Troitzsch, Klaus G. ; Möhring, Michael ; Lotzmann, Ulf
The natural and the artificial environment of mankind is of enormous complexity, and our means of understanding this complex environment are restricted unless we make use of simplified (but not oversimplified) dynamical models with the help of which we can explicate and communicate what we have understood in order to discuss among ourselves how to re-shape reality according to what our simulation models make us believe to be possible. Being both a science and an art, modelling and simulation isrnstill one of the core tools of extended thought experiments, and its use is still spreading into new application areas, particularly as the increasing availability of massive computational resources allows for simulating more and more complex target systems. In the early summer of 2012, the 26th European Conference on Modelling andrnSimulation (ECMS) once again brings together the best experts and scientists in the field to present their ideas and research, and to discuss new challenges and directions for the field. The 2012 edition of ECMS includes three new tracks, namely Simulation-BasedrnBusiness Research, Policy Modelling and Social Dynamics and Collective Behaviour, and extended the classical Finance and Economics track with Social Science. It attracted more than 110 papers, 125 participants from 21 countries and backgrounds ranging from electrical engineering to sociology. This book was inspired by the event, and it was prepared to compile the most recent concepts, advances, challenges and ideas associated with modelling and computer simulation. It contains all papers carefully selected from the large number of submissions by the programme committee for presentation during the conference and is organised according to the still growing number tracks which shaped the event. The book is complemented by two invited pieces from other experts that discussed an emerging approach to modelling and a specialised application. rnrnWe hope these proceedings will serve as a reference to researchers and practitioners in the ever growing field as well as an inspiration to newcomers to the area of modelling and computer simulation. The editors are honoured and proud to present you with this carefully compiled selection of topics and publications in the field.
Simulating social objects with an artificial neural network using a computer cluster (2011)
Kryuchin, Oleg V. ; Arzamastsev, Alexander A. ; Troitzsch, Klaus G. ; Zenkova, Natalia
This paper describes results of the simulation of social objects, the dependence of schoolchildren's professional abilities on their personal characteristics. The simulation tool is the artificial neural network (ANN) technology. Results of a comparison of the time expense for training the ANN and for calculating the weight coefficients with serial and parallel algorithms, respectively, are presented.
Simulating medical objects simulation using an artificial neural network whose structure is based on adaptive resonance theory (2011)
Kryuchin, Oleg V. ; Arzamastsev, Alexander A. ; Zenkova, Natalia ; Troitzsch, Klaus G. ; Sletkov, Denis V.
This paper describes artificial neural networks which are based on the adaptive resonance theory. The usage of these artificial neural networks for classification tasks is presented. The example uses is the classification of patient health from the results of general blood analysis.
Comparing the efficiency of serial and parallel algorithms for training artificial neural networks using computer clusters (2011)
Kryuchin, Oleg V. ; Arzamastsev, Alexander A. ; Troitzsch, Klaus G.
An estimation of the number of multiplication and addition operations for training artififfcial neural networks by means of consecutive and parallel algorithms on a computer cluster is carried out. The evaluation of the efficiency of these algorithms is developed. The multilayer perceptron, the Volterra network and the cascade-correlation network are used as structures of artififfcial neural networks. Different methods of non-linear programming such as gradient and non-gradient methods are used for the calculation of the weight coefficients.
A parallel algorithm for selecting activation functions of an artificial network (2011)
Kryuchin, Oleg V. ; Arzamastsev, Alexander A. ; Troitzsch, Klaus G.
This paper describes a parallel algorithm for selecting activation functionsrnof an artifcial network. For checking the efficiency of this algorithm a count of multiplicative and additive operations is used.
Towards a methodology of developing models of e-service quality assessment in healthcare (2011)
Lantsberg, Anna ; Troitzsch, Klaus G.
The paper is devoted to solving the problem of assessing the quality of the medical electronic service. A variety of dimensions and factors of quality, methods and models applied in different scopes of activity for assessing quality of service is researched. The basic aspects, requirements and peculiarities of implementing medical electronic services are investigated. The results of the analysis and the set of information models describing the processes of assessing quality of the electronic service "Booking an appointment with a physician" and developed for this paper allowed us to describe the methodology and to state the problem of the assessment of quality of this service.
The prediction of currency exchange rates using artificial neural networks (2011)
Kryuchin, Oleg V. ; Arzamastsev, Alexander A. ; Troitzsch, Klaus G.
This paper describes the analysis of a neural network used to predict currency exchange rates in comparison to technical analysis. The neural network structures used are a multilayer perceptron and a Volterra network.
Requirements for Health Care Related Websites in Russia: results from an Analysis of American British and German Examples (2011)
Lantsberg, Anna ; Troitzsch, Klaus G.
The paper is devoted to solving a problem of the development of the website of Russian municipal policlinics and provides a selection of a set of elements which should be posted on a website. Such elements are necessary to provide citizens with correct and ergonomic e-services. The insufficient development of an infrastructure of institutions of public and municipal administration (particularly, healthcare institutions) in Russia made it necessary to analyze webresources used in different countries at different levels of providing medical services. The information resources of medical treatment facilities of the United Kingdom, of the United Statesrnof America and of the Federal Republic of Germany were researched separately for three existing economic models of healthcare. A set of criteria for the assessment of medical webresources was developed.
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