Publikationen

Publikationsdatenbank der NORDAKADEMIE Hochschule der Wirtschaft.

Buch (Sammelwerk)

C. Herstatt, C. Stockstrom

International business management (2008)

McGraw-Hill, New York; International business

Tagungsbeitrag

A. Martens, J. Himmelspach, R. Ewald

Modeling, Simulation and Games (2008)

In Workshop Proceedings der Tagungen Mensch und Computer 2008, Delfi 2008 und Cognitive Design 2008; U Lucke, M Kindsmüller, S Fischer, M Herczeg, S Seehusen(Ed): Logos Verlag, Berlin; 349- 354

Buch (Sammelwerk)

W. Sarges, D. Scheffer

Innovative Ansätze für die Eignungsdiagnostik (2008)

Hogrefe, Göttingen; Bern; Wien; Paris; Oxford; Prag; Totonto; Cambridge, Mass.; Amsterdam; Kopenhagen; Psychologie für das Personalmanagement

Buchkapitel

D. Scheffer, D. Loerwald

Messung von Persönlichkeitseigenschaften mit dem Visual Questionnaire (ViQ) – Attraktivität als Nebengütekriterium (2008)

In Innovative Ansätze für die Eignungsdiagnostik; W Sarges, D Scheffer(Ed): Hogrefe, Göttingen; Bern; Wien; Paris; Oxford; Prag; Totonto; Cambridge, Mass.; Amsterdam; Kopenhagen; 51- 63

Tagungsbeitrag

R. Ewald, J. Himmelspach, A. Uhrmacher

An Algorithm Selection Approach for Simulation Systems (2008)

In 22nd Workshop on Principles of Advanced and Distributed Simulation; F Quaglia, J Liu(Ed): IEEE Computer Society Press, Piscataway, NJ; 91- 98

No simulation algorithm will deliver best performance under all circumstances, so simulation systems often offer execution alternatives to choose from. This leads to another problem: how is the user supposed to know which algorithm to select? The need for an automated selection mechanism is often neglected, as many simulation systems are focused on specific applications or modeling formalisms and therefore have a limited number of expert users. In general-purpose simulation systems like JAMES II, an ’intelligent’ selection mechanism could help to increase the overall performance, especially when users have limited knowledge of the underlying algorithms and their implementation(s)(which is almost always the case). We describe an approach to integrate algorithm selection methods with such systems. Its effectiveness is illustrated in conjunction with the ’plug ’n simulate’ approach of JAMES II.

An Algorithm Selection Approach for Simulation Systems

Tagungsbeitrag

A. Martens, J. Himmelspach, R. Ewald

Spiele und Simulation (2008)

In Proceedings of the E-Learning-Baltics - eLBa 2008; S Hambach, A Martens, B Urban(Ed): Fraunhofer IRB Verlag, Rostock, Deutschland; 53- 62

Tagungsbeitrag

H. Obendorf, M. Finck

Scenario-based usability engineering techniques in agile development processes (2008)

In CHI '08; M Czerwinski, A Lund, D Tan(Ed): ACM Press, New York; 2159

Zeitschriftenaufsatz

C. Stockstrom, C. Herstatt

Planning and uncertainty in new product development (2008)

R&D Management, 38(5); 480- 490

Tagungsbeitrag

A. Uhrmacher, R. Ewald, J. Himmelspach, M. Jeschke, M. John, S. Leye, C. Maus, M. Röhl

One Modelling Formalism & Simulator is not enough! ‐ A Perspective for Computational Biology Based on JAMES II (2008)

In Proceedings of the the 1st FMSB Workshop; J Fisher(Ed): Springer-Verlag, Cambridge, UK; 123- 138

Diverse modelling formalisms are applied in Computational Biology. Some describe the biological system in a continuous manner, others focus on discrete-event systems, or on a combination of continuous and discrete descriptions. Similarly, there are many simulators that support different formalisms and execution types (e.g. sequential, parallel-distributed) of one and the same model. The latter is often done to increase efficiency, sometimes at the cost of accuracy and level of detail. James II has been developed to support different modelling formalisms and different simulators and their combinations. It is based on a plug-in concept which enables developers to integrate spatial and non-spatial modelling formalisms (e.g. stochastic pi calculus, Beta binders, Devs, space- pi), simulation algorithms (e.g. variants of Gillespie’s algorithms (including Tau Leaping and Next Subvolume Method),space- pi simulator, parallel Beta binders simulator) and supporting technologies (e.g. partitioning algorithms, data collection mechanisms, data structures, random number generators) into an existing framework. This eases method development and result evaluation in applied modelling and simulation as well as in modelling and simulation research.

One Modelling Formalism & Simulator is not enough! ‐ A Perspective for Computational Biology Based on JAMES II

Graue Literatur / Bericht / Report

F. Zimmermann

Benutzerhandbuch leJOS Statemachine Toolkit (2008)